Master Data Manager

SAP Basis Engineer

Manager, Data Engineering

Sr. Software Engineer - Ag & Trading .Net

Accounts Receivable (6 Months Contract)

Maintenance Manager

Product Engineer II

Data Engineer, Senior

Manager Communications & CSR

Senior Data Scientist - Machine Learning

Role Description: <ul><li>The Master Data Manager will join the Business Unit’s Digital, Data &amp; Technology (DD&amp;T) organization and report directly to the Chief Information Officer (CIO), Industrial &amp; Commercial Transportation (ICT). As part of DD&amp;T, this role is a key enabler of operational excellence, digital transformation, and AI readiness.</li><li>The Master Data Manager will coordinate cross-functional Master Data Owners, define and track data quality KPIs, and ensure master data issues are corrected in a sustainable and scalable manner.</li><li>Rather than executing transactional data maintenance, this role orchestrates standards, transparency, and accountability across the Business Unit, ensuring master data supports business processes, process intelligence, and AI-driven initiatives.</li></ul> Responisbilities: 1. Master Data Governance &amp; Coordination <ul><li>Establish and operationalize a ICT Master Data Governance framework.</li><li>Coordinate nominated Master Data Owners across functions (Operations, Engineering, Finance, Project Management, Commercial, Product Management, etc.).</li><li>Define clear roles, responsibilities, and escalation paths for data ownership.</li><li>Facilitate recurring cross-functional data governance forums and reviews.</li></ul> 2. Data Quality KPI Definition &amp; Monitoring <ul><li>Define measurable KPIs for data accuracy, completeness, consistency, timeliness, and integrity.</li><li>Implement dashboards (in collaboration with DD&amp;T teams) to monitor data health across systems (SAP S/4HANA, Hydra MES, Planisware, Salesforce, SAP IBP).</li><li>Establish target thresholds and continuous improvement plans.</li><li>Ensure transparency of data quality performance to functional leadership.</li></ul> 3. Sustainable Issue Resolution <ul><li>Identify systemic root causes of master data defects.</li><li>Drive sustainable corrective actions with Master Data Owners and process stakeholders.</li><li>Ensure data issues are resolved at process level, not through recurring manual corrections.</li><li>Partner with DD&amp;T Process Automation &amp; Process Intelligence teams to eliminate recurring data.</li></ul> 4. Enable AI &amp; Process Intelligence <ul><li>Ensure master data structures and governance support:</li><li>Advanced analytics and AI use cases</li><li>Process mining and task mining initiatives</li><li>Reliable automation and digital workflows</li><li>Collaborate with the DD&amp;T AI Lab to ensure master data is AI-ready and supports model performance.</li><li>Support data standardization to enable reuse of models and interoperability across functions.</li></ul> 5. Transformation &amp; Continuous Improvement <ul><li>Promote data as a strategic asset within the Business Unit.</li><li>Drive adoption of standardized templates, definitions, and taxonomies.</li><li>Support SAP S/4HANA evolution and system integrations from a data governance perspective.</li><li>Contribute to digital transformation programs by embedding data quality controls early in process design.</li></ul> Requirements: <ul><li>Bachelor’s degree in Engineering, Supply Chain, Information Systems, Business, or related field.</li><li>5+ years of experience in Master Data Management, Data Governance, ERP environments, or cross-functional process management.</li><li>Experience working in global, cross-functional manufacturing or industrial environments.</li><li>Strong understanding of ERP systems (SAP S/4HANA preferred) and enterprise data flows.</li><li>Experience defining and tracking data quality KPIs.</li><li>Knowledge of data analytics environments (e.g., Databricks) is a plus.</li><li>Strong facilitation, stakeholder management, and influencing skills.</li></ul>

Responsibilities: <ul><li>Designs, builds, and supports SAP platform solutions by applying sound engineering practices to ensure system stability, performance, and scalability.</li><li>Utilizes enterprise tools and methodologies to automate system deployments, transport, and administrative activities, enabling reliable and repeatable releases.</li><li>Collaborate with cross‑functional partners to translate moderately complex business and technical requirements into effective SAP Basis solutions.</li><li>Performs system validation, technical testing, monitoring, and troubleshooting to maintain the quality and availability of SAP systems.</li><li>Contributes to continuous improvement initiatives by identifying opportunities to enhance SAP Basis processes, automation, and operational efficiency.</li><li>Creates and maintains clear technical documentation for SAP landscapes, configurations, and operational procedures.</li><li>Provides technical support for moderately complex SAP Basis issues, ensuring timely resolution and minimal impact to business operations.</li><li>Drives automation and quality through the use of enterprise testing and deployment tools, including Tosca for test automation and qTest for test management, execution, and traceability.</li><li>Develops, executes, and maintains manual and automated test assets for SAP systems, ensuring end‑to‑end coverage across SIT, UAT, regression, and integration testing cycles.</li><li>Performs system validation, monitoring, defect analysis, and troubleshooting in partnership with development, security, and infrastructure teams to ensure reliability and performance.</li></ul> Requirements: <ul><li>Minimum requirement of 5 years of relevant work experience with SAP Basis.&nbsp;</li><li>Demonstrated expertise in SAP Basis engineering, with strong knowledge of SAP system architecture, technical landscape design, system administration, upgrades, transport, performance monitoring, and operational support across multiple SAP environments.</li><li>Experience managing and supporting SAP technical operations, including system availability, batch processing, interfaces, background jobs, monitoring, troubleshooting, and incident resolution in alignment with enterprise service expectations.</li><li>Proven ability to support SAP Fiori and UI technical components from a Basis perspective, including configuration, activation, performance support, and coordination with security and application teams.</li><li>Experience leveraging scripting and technical tools (such as SQL and automation utilities) to improve operational efficiency, support system analysis, and standardize SAP Basis activities.</li><li>Working knowledge of cloud‑hosted and hybrid SAP landscapes, including experience supporting SAP systems on platforms such as Microsoft Azure, AWS, or Google Cloud, with an understanding of infrastructure, connectivity, and platform operations.</li></ul>

Responsibilities: <ul><li>DATA &amp; ANALYTICAL SOLUTIONS: Oversees the development of data products and solutions using big data and cloud based technologies, ensuring they are designed and built to be scalable, sustainable and robust.</li><li>DATA PIPELINES: Develops and monitors streaming and batch data pipelines that facilitate the seamless ingestion of data from various data sources, transform the data into information and move to data stores like data lake, data warehouse and others.</li><li>DATA SYSTEMS: Reviews existing data systems and architectures to lead identification of areas for improvement and optimization.</li><li>DATA INFRASTRUCTURE: Oversees the preparation of data infrastructure to drive the efficient storage and retrieval of data.</li><li>DATA FORMATS: Reviews and resolves appropriate data formats to improve data usability and accessibility across the organization.</li><li>STAKEHOLDER MANAGEMENT: Partners collaboratively with multi-functional data and advanced analytic teams to capture requirements and ensure that data solutions meet the functional and non-functional needs of various partners.</li><li>DATA FRAMEWORKS: Builds complex prototypes to test new concepts and provides guidance to implement data engineering frameworks and architectures that improve data processing capabilities and support advanced analytics initiatives.</li><li>AUTOMATED DEPLOYMENT PIPELINES: Oversees the development of automated deployment pipelines improving efficiency of code deployments with fit for purpose governance.</li><li>DATA MODELING: Guides the team to perform data modeling in accordance to the datastore technology to ensure sustainable performance and accessibility.</li><li>TEAM MANAGEMENT: Manages team members to achieve the organizations goals, by ensuring productivity, communicating performance expectations, creating goal alignment, giving and seeking feedback, providing coaching, measuring progress and holding people accountable, supporting employee development, recognizing achievement and lessons learned, and developing enabling conditions for talent to thrive in an inclusive team culture.</li></ul> Requirements: <ul><li>Some experience in React, including hooks, context API, and state management libraries (Redux, Zustand)</li><li>Solid experience with JavaScript (ES6+), TypeScript, HTML5, CSS3.</li><li>Strong experience with C# and .NET Framework/.NET Core.</li><li>Solid understanding of object-oriented programming.</li><li>Experience with unit testing and mocking frameworks (e.g., xUnit, NUnit, Moq).</li><li>Familiarity with design patterns (e.g., Repository, Factory, Strategy).</li><li>Experience with SQL DBs, MySQL, Postgres, or MS SQL: writing queries, stored procedures, and performancetuning.</li><li>Knowledge of RESTful APIs and message-based systems.</li><li>Experience with relational databases and data access libraries (e.g., Entity Framework, Dapper).</li><li>Knowledge of ReactJS</li><li>Proficient in Git: branching, merging, pull requests, and version control workflows.</li></ul>

Responsibilities: <ul><li>Demonstrate accountability by ensuring timely and high-quality project delivery.</li><li>Be result driven, consistently achieving measurable outcomes and meeting goals.</li><li>Act as a team player, collaborating effectively with cross-functional teams.</li><li>Exhibit a can-do mentality, tackling challenges with a proactive and positive approach.</li><li>Apply software engineering patterns and principles to design, develop, test, integrate, maintain, troubleshoot and document complex and varied software solutions and incorporate security practices in newly developed and maintained applications.</li><li>Participate in peer code review sessions to review code, coach peers and ensure code quality.</li><li>Take the lead in the assigned agile team to adopt agile philosophies, facilitate agile ceremonies and identify continuous improvement opportunities.</li><li>Incorporate the companys engineering and development best practices within the full software development lifecycle including coding standards, code reviews, source control management, building processes, testing and security principles, to deliver high quality code rapidly.</li><li>Collaborate to lead demonstration and continuous feedback sessions to improve development and help drive the long term vision.</li><li>Participate in the engineering community by maintaining and sharing relevant technical approaches and modern skills.</li><li>Independently handle complex issues with minimal supervision, while escalating only the most complex issues to appropriate staff.</li><li>Other duties as assigned</li></ul> Requirements: <ul><li>Bachelor’s degree in a related field or equivalent experience</li><li>Confirmed experience automating pipelines for continuous integration, testing, delivery and security.</li><li>Confirmed experience architecting applications, databases, services or integrations.</li><li>Extensive experience with .NET Framework and .NET Core.</li><li>Familiarity with front-end technologies like HTML, CSS, JavaScript, and frameworks such as Angular, React, or Vue.js.</li><li>Experience with DevOps practices and tools such as Docker and CI/CD pipelines.</li><li>Knowledge of SQL Server and / or PostgreSQL for database design and management.</li><li>Hands-on experience with Kubernetes for container orchestration and management.</li><li>Experience with cloud platforms such as Azure, AWS, or GCP.</li><li>Minimum of 5 years of related work experience in software development using .NET technologies.</li></ul>

Responsibilities: <ul><li>Manage AR related activities in SAP including Customer Onboarding (as per policy), customer master database management, Credit Limit mapping, Pricing database update, Sales order release</li><li>Manage AR overdue status, claims processing, collection status, provisioning of doubtful debts, bad debts</li><li>Managing regularly AR balances reconciliations and liaison with commercial team and customers, consultants etc.</li><li>Support at month end for accruals, movements, documentation etc.</li><li>Support in statutory and internal audits related to above areas</li></ul> Requirements: <ul><li>Minimum 3 Years experience of SAP S4 for Sales / AR related Module</li><li>Minimum 3 Years experience of Alco Bev Industry – AR Management standpoint</li><li>Strong analytical skills with the ability to interpret data and drive business decisions.</li><li>Advanced proficiency in Excel and data analytics for reporting, forecasting, and planning.</li><li>Process-driven mindset, ensuring structured execution and business predictability.</li></ul>

Responsibilities: Preventive Maintenance &amp; Operations: <ul><li>Coordinate with Production Scheduling and Value Stream teams to plan PM activities at least 72 hours in advance</li><li>Develop and manage PM schedules within CMMS systems</li><li>Ensure PMs include tasks, BOM, OEM manuals, images, and execution details</li><li>Establish PM audit processes to ensure effectiveness</li><li>Implement visual systems to communicate PM schedules to production teams</li><li>Track and report PM performance metrics (On-Time completion, Schedule Adherence)</li><li>Ensure proper closure of PM work orders to support MTBF, MTTR, and reliability improvements</li><li>Develop PM kitting processes to improve efficiency</li></ul> Leadership &amp; Team Management: <ul><li>Lead, mentor, and manage maintenance teams</li><li>Recognize and reward employee performance</li><li>Drive adherence to company policies and operational procedures</li><li>Support hiring, staffing, and equal opportunity practices</li><li>Conduct performance evaluations and identify training needs</li></ul> Safety, Compliance &amp; Continuous Improvement: <ul><li>Ensure compliance with OSHA, PPE, plant safety systems, ISO, and TS 16949 standards</li><li>Lead TPM initiatives and continuous improvement programs</li><li>Ensure timely completion of safety and quality engagement activities</li></ul> Budget &amp; Stakeholder Management: <ul><li>Manage departmental budgets and cost-saving initiatives</li><li>Prepare reports, maintain records, and handle communications</li><li>Collaborate with external suppliers and OEMs for technical support and training</li></ul>&nbsp;Requirements: Education &amp; Experience: <ul><li>Associate’s Degree + 8+ years of maintenance &amp; leadership experience</li><li>OR</li><li>Bachelor’s Degree in Engineering + 5+ years of experience</li><li>OR</li><li>Equivalent combination of education and experience</li></ul> Technical Expertise: <ul><li>Minimum 5 years of CMMS/database administration experience (Maximo, MP2, Maintenance Connection, eMaint)</li><li>Strong technical writing and documentation skills</li><li>Deep knowledge of maintenance systems, tools, and methodologies</li></ul> Hands-On Experience With: <ul><li>PLC systems</li><li>Electric motors and controllers</li><li>Mechanical, pneumatic, and hydraulic systems</li><li>Vacuum pumps and plant equipment</li></ul> Preferred Skills: <ul><li>Microsoft Office (Excel, Word, Outlook)</li><li>Lean Manufacturing, Six Sigma, 5S (Green Belt preferred)</li><li>Understanding of MTBF, MTTR, and TPM programs&nbsp;</li></ul>

Responsibilities: Performance &amp; Continuous Improvement: <ul><li>Maintain and improve existing products, processes, and specifications</li><li>Drive quality improvements and cost reduction initiatives</li><li>Support product extensions to meet specific customer requirements</li></ul> Daily &amp; Ongoing Activities: <ul><li>Manage engineering change processes (ECR/ECN)</li><li>Lead Product Change Notifications (PCN) to customers</li><li>Conduct root cause analysis and implement corrective actions</li><li>Redesign products to resolve customer complaints and manufacturing challenges</li><li>Coordinate with cross-functional teams for seamless implementation</li></ul> Periodic Responsibilities; <ul><li>Support supplier development and consolidation initiatives</li><li>Participate in A3 problem-solving, Material Review Board, and Rapid Response Board</li><li>Assist manufacturing facilities with processing issues</li><li>Collaborate with product management, sales, and customer service teams</li><li>Develop and execute product testing plans</li><li>Ensure compliance with military specifications (MIL-STD)</li></ul>&nbsp;Requirements: Education <ul><li>Bachelor’s Degree in Mechanical Engineering, Mechatronics Engineering, or equivalent</li></ul> Experience &amp; Skills <ul><li>2–3 years in product engineering or packaging engineering</li></ul> Strong expertise in: <ul><li>3D Modeling (CREO / SolidWorks / Pro-E)</li><li>GD&amp;T (Geometric Dimensioning &amp; Tolerancing)</li><li>Engineering Change Management (ECR/ECN/PCN)</li><li>Lean Manufacturing &amp; Continuous Improvement</li><li>Root Cause Analysis (A3 / 8D methodologies)</li><li>Supplier Development</li><li>Microsoft Office tools</li><li>Knowledge of military specifications (MIL-STD) is a strong advantage&nbsp;</li></ul>

Responsibilities: <ul><li>Design, develop and deploy process automation workflows to support Smart Factory operation.</li><li>Extract, transform and analyze data into accurate, meaningful and actionable reports to support operational and business decision making, such as yield reports with data visualizations and recommendations.</li><li>Play a role as a bridge between business, IT and vendor(s) to support new loaders, functionalities and enhancements for Yield Management System such as Discover Yield tools, Tableau dashboards as well as Advanced Yield Examination internal tools.</li><li>With Product and Process knowledge, ensure data integrity for YMS tools.</li><li>Combine statistics, machine learning and computer science to turn data into actionable insights for solving complex process issue(s).</li><li>Design, build and maintain Predictive AI Models to enable proactive decision-making.</li></ul> Requirements: <ul><li>Bachelor’s Degree in Computer Science or&nbsp;Electronic/Electrical Engineering, with min. 2 years’ experience in Data Analytics field.</li><li>Proficiency in SQL and experience working with relational databases.</li><li>Strong working knowledge of statistics and its applications.</li><li>Experience in building automated reports.</li></ul>

Role Description: <ul><li>Lead Corporate Communication, Employer Branding and CSR across locations with close co-ordination with the location leads and global teams.</li><li>In addition, the incumbent will be the single point of contact for all internal and external communication and branding initiatives.</li></ul> Responsibilities: Corporate Communication &amp; Branding <ul><li>Plan, direct, and implement the communications and corporate branding strategy initiatives and activities.</li><li>Help improve visibility for India leadership both in trade bodies and social media such as LinkedIn and other social digital platforms.</li><li>Work with various business units and functions to create high quality content (newsletters, videos, photoshoots etc.).</li><li>Be responsible corporate website &amp; content, Corporate Events &amp; Collaterals - Host media, conduct media tours, maintain media database and relations, develop noteworthy stories, and compile news clippings.</li></ul> Corporate Social Responsibility (CSR) <ul><li>Lead CSR for India; this will involve forming a CSR strategy with focus on key focus areas, work closely with internal leads, volunteers, external partners and global/regional corporate CSR team for budget approval and spend update.</li><li>Conduct quarterly meetings with board members and provide update; work closely with finance and CS for statutory compliance.</li></ul> Employee Resource Group (ERG) <ul><li>Work closely with various Employee Resource Groups &amp; Communities developing and executing communication and branding strategies.</li><li>Partner on initiatives impacting CSR across the ERGs.</li><li>Own and publish monthly India business update working closely with country business and functional leaders, ERG (employee resource group) leads and JV partners.</li></ul> Requirements: Desired Candidate Profile: <ul><li>Full time Master’s in Mass Communications/Mass Media/Public Relations or related field.</li><li>Certifications related to CSR/ESG etc. would be an added advantage.</li><li>At least 10+ years of work-related experience in the Manufacturing or related industries leading internal communication, branding and CSR.</li><li>Knowledge of communication tools, social media platforms and related platforms will be an added advantage.</li><li>Possess good industry network to execute both communication and CSR strategy.</li><li>Project manage, multi-task and prioritize different communication/branding/CSR initiatives in a fast-paced environment.</li></ul>

Responsibilities: <ul><li>Lead the design, development, and deployment of machine learning models using Python for applications including process optimization, predictive analytics, demand forecasting, computer vision, and decision support systems</li><li>Network across manufacturing, R&amp;D, commercial, and business functions to identify and collaboratively execute on high-impact challenges solvable through machine learning techniques</li><li>Build production-ready ML solutions within enterprise platforms (Databricks, Azure ML) including model training, endpoint deployment, and monitoring</li><li>Develop and maintain scalable, modular, well-documented code following MLOps best practices including version control, logging/metadata standards, and CI/CD principles</li><li>Lead code reviews, architectural discussions, and knowledge sharing to maintain high quality, production-ready deliverables across the team</li><li>Collaborate with domain experts and stakeholders across a wide variety of domains to understand needs, integrate ML solutions into workflows, and deliver measurable business value</li><li>Communicate complex machine learning methodology, results, and business impact clearly to technical and non-technical audiences through presentations, documentation, and visualizations</li><li>Stay current with advancements in machine learning, and apply them to solve business challenges</li><li>Mentor and provide technical guidance to data scientists, helping to grow the teams capabilities in Hyderabad</li><li>Support ML governance processes including architecture and methodology reviews, risk assessments, and compliance with enterprise standards</li><li>Lead project planning and execution, managing timelines, resources, and stakeholder expectations</li></ul> Requirements: <ul><li>Masters or Ph.D. in a relevant field such as Data Science, Statistics, Mathematics, Computer Science, Operations Research, or a domain-focused field (Engineering, Chemistry, Economics, Finance, etc.)</li><li>5-8+ years of experience in data science, machine learning, or a related field with demonstrated impact</li><li>Strong foundation in statistical and machine learning theory with proven ability to select, apply, and evaluate appropriate techniques for complex, real-world problems</li><li>Extensive hands-on experience building predictive models and deploying them to production environments using Python</li><li>Proficiency with modern ML frameworks (scikit-learn, XGBoost/CatBoost, TensorFlow/PyTorch) and data manipulation libraries (pandas, polars, numpy)</li><li>Experience with solution architecting and design for ML systems</li><li>Hands-on experience with cloud platforms such as Azure and/or Databricks for deploying and managing ML models and solutions</li><li>Experience with version control (Git), collaborative development, and code review processes</li><li>&nbsp;Strong written and oral communication skills with ability to present technical concepts and results to diverse audiences from technical teams to business leadership</li><li>History of project leadership and driving initiatives from conception to production</li><li>Strong problem-solving skills and the ability to work independently as well as lead and mentor team members&nbsp;</li></ul>

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50 sql server database Jobs found

Master Data Manager

SAP Basis Engineer

Manager, Data Engineering

Sr. Software Engineer - Ag & Trading .Net

Accounts Receivable (6 Months Contract)

Maintenance Manager

Product Engineer II

Data Engineer, Senior

Manager Communications & CSR

Senior Data Scientist - Machine Learning

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50 sql server database Jobs found

Master Data Manager

SAP Basis Engineer

Manager, Data Engineering

Sr. Software Engineer - Ag & Trading .Net

Accounts Receivable (6 Months Contract)

Maintenance Manager

Product Engineer II

Data Engineer, Senior

Manager Communications & CSR

Senior Data Scientist - Machine Learning

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

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