Principal HANA Database Administrator

Senior Software Engineer 1

Staff Software Engineer

Senior Software Engineer 2

IAD / SAD / LAD GCP Data Engineer

Senior Business Intelligence Analyst

Associate Data Engineer

Senior - Data Engineer

C# Developer (SSE)

Senior Systems Analyst – DotNet Developer Full stack

Role Description: <ul><li>The Principal HANA Database Administrator will serve as the organization’s top technical authority for SAP HANA database environments.</li><li>This role is responsible for designing, implementing, and optimizing large-scale HANA systems to ensure high availability, security, and performance.</li><li>The individual will lead strategic initiatives, mentor team members, and collaborate with cross-functional teams to support mission-critical enterprise applications.</li></ul> Responsibilities: Architecture &amp; Strategy <ul><li>Define enterprise-level SAP HANA architecture and standards.</li><li>Develop strategies for scalability, high availability, disaster recovery, and security compliance.</li></ul> Database Administration <ul><li>Install, configure, and upgrade SAP HANA systems.</li><li>Perform advanced performance tuning, query optimization, and memory management.</li><li>Monitor system health and proactively resolve issues.</li></ul> Data Management <ul><li>Manage data provisioning, replication, and integration with SAP and non-SAP systems.</li><li>Ensure compliance with data governance and security standards.</li></ul> Leadership <ul><li>Act as a subject matter expert for SAP HANA across the organization.</li><li>Mentor junior DBAs and provide technical guidance to project teams.</li><li>Drive automation and best practices for database operations.</li></ul> Innovation <ul><li>Evaluate emerging technologies and recommend enhancements.</li><li>Lead initiatives to improve efficiency and reduce operational risk.</li></ul> Requirements: Education: <ul><li>Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field.</li></ul> Experience: <ul><li>10+ years of database administration experience, with at least 5 years in SAP HANA.</li><li>Proven track record managing large-scale, mission-critical HANA environments.</li></ul> Technical Skills: <ul><li>Expertise in SAP HANA architecture, sizing, and performance tuning.</li><li>Strong knowledge of Linux OS, virtualization, and cloud platforms (AWS, Azure, GCP).</li><li>Familiarity with SAP Basis and integration with S/4HANA, BW/4HANA.</li></ul> Certifications: <ul><li>SAP Certified Technology Specialist – SAP HANA.</li><li>Additional certifications in cloud or database technologies preferred.</li></ul>

Responsibilities:&nbsp; <ul><li>Architect, design, build, and maintain high-impact software systems that align with business objectives and uphold technical excellence.</li><li>Own end-to-end delivery of outcomes, ensuring solutions meet functional and non-functional requirements; proactively adapt strategy and execution when results diverge from goals.</li><li>Collaborate with senior engineers and cross-functional partners across global teams to drive a cohesive and scalable technical strategy.</li><li>Establish and champion engineering best practices, operational efficiencies, and technical standards to elevate the overall quality and effectiveness of the organization.</li><li>Lead, mentor, and support engineers through thoughtful design discussions, rigorous code reviews, and targeted coaching to promote continuous improvement and growth.</li></ul> Requirements: <ul><li>Education: Bachelor’s or Master’s degree in Computer Science or a related field.&nbsp;</li><li>Experience: 6+ years of software development experience, with a proven track record of technical leadership.&nbsp;</li><li>Tech Stack Mastery: Exceptional skills in Java, Spring Boot, SQL, and RESTful services.&nbsp;</li><li>Cloud Proficiency: Hands-on experience with public cloud services, preferably AWS.&nbsp;</li><li>Communication: Exceptional ability to collaborate across functional lines and with global, cross-geo teams.&nbsp;</li></ul>

Responsibilities:&nbsp; <ul><li>Lead the architecture and design efforts, aligning with future scalability and business objectives.</li><li>Provide mentorship, set technical direction, and drive excellence in the team.</li><li>Establish technical roadmap with cross-functional teams and stakeholders, ensuring alignment with business objectives.</li><li>Simplify and break down complex requirements into manageable deliverables and milestones through development of technical specifications.</li><li>Ensure deliverables meet the functional and non-functional criteria, and drive changes proactively where outcomes are misaligned.</li><li>Promote a culture of continuous improvement by guiding other engineers through design, code, and operational reviews.</li></ul> Requirements: <ul><li>Deep Expertise: 10+ years of software development experience, with at least 3 years in a formal technical leadership role.&nbsp;</li><li>The Java Stack: You are an expert in Java, Spring Boot, and SQL, with a proven track record of building distributed services that dont fail.&nbsp;</li><li>Cloud Native: Extensive experience with public cloud services (we prefer AWS) and a deep understanding of fault-tolerant, distributed systems.&nbsp;</li><li>Strategic Vision: You can zoom out to see the business objective and zoom in to solve a granular technical bottleneck.&nbsp;</li><li>Collaborative Leadership: Exceptional communication skills. You can explain architectural trade-offs to stakeholders and inspire engineers in the same hour.&nbsp;</li><li>Education: Bachelor’s or Master’s degree in Computer Science or a related technical field.&nbsp;</li></ul>

Responsibilities:&nbsp; <ul><li>Lead and own the architectural design of the cloud platform, ensuring solutions align with scalability requirements and long-term business objectives.</li><li>Define and execute the technical roadmap in collaboration with cross-functional stakeholders to advance the product vision.</li><li>Translate complex business requirements into clear technical specifications, actionable milestones, and high-quality deliverables.</li><li>Drive engineering excellence by proactively managing functional and non-functional requirements, and initiating corrective action when outcomes diverge from expectations.</li><li>Mentor and develop engineers through structured design, code, and operational reviews, fostering a culture of continuous improvement and technical rigor.</li></ul> Requirements: <ul><li>Experience: 10+ years of software development experience, with at least 3+ years in a technical leadership role.&nbsp;</li><li>Education: Bachelor’s or Master’s degree in Computer Science or a related field.&nbsp;</li><li>Deep Technical Expertise: Extensive mastery of Java, Spring Boot, and SQL.&nbsp;</li><li>Cloud &amp; Distributed Systems: Proven experience designing and operating modern cloud-native, fault-tolerant distributed services (preferably on AWS).&nbsp;</li><li>Architecture: Solid understanding of Microservices and REST API standards.&nbsp;</li><li>Quality Focus: Strong experience in writing Unit and API tests to ensure platform stability.&nbsp;</li><li>Soft Skills: Exceptional strategic thinking and the ability to communicate technical concepts to non-technical stakeholders.</li></ul>

Responsibilities: Architecture &amp; Design:&nbsp; <ul><li>Design end-to-end data architectures that integrate real-time streaming (Kafka, GCP Pub/sub) and batch processing (Big Query OR Databricks).</li></ul> Pipeline Development:&nbsp; <ul><li>Build and maintain robust ETL/ELT pipelines flowing into BigQuery/Databricks, ensuring data is clean, modeled, and ready for consumption.</li></ul> Custom Integration:&nbsp; <ul><li>Develop custom APIs and microservices using Java/Python/C# to facilitate data movement between niche systems and the data lakehouse.</li></ul> Infrastructure Management:&nbsp; <ul><li>Deploy and manage data workloads on Google Kubernetes Engine (GKE), ensuring high availability and cost-efficiency.</li></ul> Technical Leadership:&nbsp; <ul><li>Mentor junior engineers, conduct code reviews, and establish DataOps best practices (CI/CD, automated testing, and monitoring).</li></ul> Data Reliability:&nbsp; <ul><li>Implement data quality frameworks to ensure accuracy and lineage across the hybrid environment.</li></ul> Requirements: <ul><li>Experience with Terraform &amp; Azure Dev Ops (ADO).</li><li>Knowledge of workflow orchestrators like Apache Airflow (Cloud Composer).</li><li>Experience implementing Data Governance (metadata management, data cataloging).</li><li>Data Processing &amp; Storage</li><li>BigQuery: Expert-level SQL and experience with partition/cluster optimization.</li><li>Databricks: Deep knowledge of the Lakehouse architecture, Delta Lake, and Spark (PySpark/Scala) Software Engineering &amp; APIs</li><li>Languages: Proficiency in Java/Python/C# for backend development and custom data connectors.</li><li>API Design: Proven ability to build and consume RESTful APIs for data ingestion Streaming &amp; Infrastructure</li><li>Kafka/GCP Pub-Sub: Experience building event-driven architectures and managing producers/consumers.</li><li>GKE: Proficiency in containerization (Docker) and orchestrating data workloads on Kubernetes.</li></ul>

Role Description: <ul><li>The Continuous Improvement EMIA team reports to Operations Automotive EMIA.</li><li>By providing new generation digital solutions to our Operational teams across EMIA, our team creates full transparency and speed in the ongoing digital &amp; lean transformation(s), which will enable all involved functions to leverage data to develop business insights and roadmap updates based upon clearly arranged and understandable data. Due to the extended scope, focusing also on the connecting processes from Supplier(s) to Manufacturing ending at the Customer(s) (internal and external) we will function as ‘the’ differentiator for our Company.</li><li>The Data Scientist Automotive EMIA will report to the Smart Factory Leader Automotive EMIA.&nbsp;</li></ul> Responsibilities:&nbsp; <ul><li>Lead projects and work together with our Automotive EMIA Operations plants, internal (IT, , Corporate Technology, CoE, SC, ..) and external partners in the area of Smart Factory (Applications, ML, AI, DL), aligned with Operations Automotive EMIA Strategy.</li><li>Lead Smart Factory improvement projects (Enhancements) of existing applications together with internal / external supplier and customers (project management) until the level of RTD (Ready To Deploy)</li><li>·Use a combined knowledge of computer science and applications, modelling, statistics, analytics and maths to solve problems.</li><li>Identify and interpret data sources, manage large amounts of data, merge data sources together, ensure consistency of datasets, create visualizations to aid in understanding data.</li><li>Develop, Validate and Deploy (including Training and Coaching of the users) until the level of RTD (Ready To Deploy), Digital Factory Applications, ML models, contributing to waste elimination and efficiency improvements within all Operations functions (Manufacturing, Quality, SC, LOG, ….), this together with our internal and external partners.</li></ul>&nbsp;Requirements: Desired candidate &amp; Qualification <ul><li>Good understanding of a technology driven manufacturing company.</li><li>Knowledge of the core manufacturing technologies: Stamping, Plating, Assembly, Molding.</li><li>Experienced with data visualization tools like PowerBi, Tableau, ThingWorx,..</li><li>Good applied statistics skills, such as distributions, statistical testing, regression, etc.</li><li>Development experience in programming languages R, Python.</li><li>Knowledge, experience in JAVA scripting</li><li>Excellent pattern recognition and predictive modelling skills.</li><li>Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, neural networks and deep learning etc.</li><li>Experience in technologies like, Jupyter Notebooks, Numpy, Pandas, Seaborn, Scikit-learn, PyTorch and TensorFlow.</li><li>Exposure to recent developments in Deep Learning, Gen AI, Agentic AI domain.</li><li>Database skills, on-premises and cloud based.</li><li>Experience in AWS is an advantage, functional knowledge of AWS platforms such as Sagemaker, S3, and RedShift.</li><li>Excellent presentation skills in both spoken en written English.</li><li>&nbsp;Excellent and strong communicator</li><li>The ability to translate, explain and bring, complex data science topics to an easy understandable level, speeding up acceptance level in general.</li><li>Bachelor or master’s in data science</li><li>Team player with a solution focused problem-solving mentality.</li><li>Change agent with high Execution level, including training and coaching talents.</li><li>Passioned about the combination of Technology, Data, Analytics and Statistics with link to Quality, Product and Process Engineering</li><li>Inspired by and searching actively for new technologies and methods.</li></ul>

Responsibilities: <ul><li>Ability to troubleshoot problems in a live environment and provide real time help with critical issues.</li><li>Write code that is easily understood and maintainable by other team members.</li><li>Keep up to date with developments in technologies we are using.</li><li>Ability to communicate and work effectively, supporting various business departments.</li><li>Ability to work in fast-paced interdisciplinary environment.</li></ul> Requirements <ul><li>BA/BS in Computer Science or equivalent practical experience.&nbsp;</li><li>At least 3+ years of post-university experience as a full-stack engineer.</li><li>Solid knowledge of programming fundamentals—algorithms, data structures, design patterns, and paradigms.</li><li>Strong knowledge of Python.</li><li>Solid knowledge SQL and relational databases.</li><li>Knowledge of Extract-Transform-Load (ETL) and big data analytics tools.</li><li>Experience working in a cloud environment (AWS, Azure, GCP).</li><li>Familiarity with popular Python data analytics frameworks.</li><li>Familiarity with Snowflake or other large analytics engines.</li><li>Experience with data warehousing and working in environments with large scale, complex analytics requirements.</li><li>Familiarity with DAG-based job scheduling tools.</li><li>Cloud-native container orchestration platforms and tools.</li><li>Experience working in the Financial Services industry.</li></ul>

Responsibilities: <ul><li>Uses a set of tasks and techniques to work as a liaison among and elicit the needs of stakeholders to define and validate solutions that meet business needs, goals, or objectives.</li><li>Analyzes and synthesize information elicited from stakeholders, defines, and manages the plan to deliver requirements and documents, and manages requirements throughout the project life cycle.</li><li>Develop ETL (Extract, transform, load) process to help extract and manipulate data from multiple sources.</li><li>Reformulating or automating the existing data workflows to maximize their functioning and greater scalability.</li><li>Critically evaluate information gathered from multiple sources, reconcile conflicts, decompose high-level information into details, and produce actionable business insights out of it.</li><li>Need to conduct complex data analysis and improve data quality and efficiency.</li><li>Develop models to create reporting infrastructure/dashboards for business process management and data mining.</li><li>Design Summary, Detail, and Dashboard reports and management summaries which present data findings in a professional, concise, and readable format appropriate for content and audience.</li><li>Solve ad-hoc requirements of Management related to data for critical decision making</li><li>Troubleshoot data inaccuracies, identify root causes, and take corrective action</li><li>Effectively communicate and translate quantity findings (Storytelling with data) inclusive of key insights and actionable recommendations to optimize performance</li><li>Optimize reports to ensure a responsive solution when visualizing vast amounts of data.</li></ul> Requirements: <ul><li>5+ years of data engineering experience in ETL design, development, optimization &amp; testing using, Alteryx, Data Bricks, Cloud AWS Services, Python, SQL scripts,</li><li>5+ years of hands-on experience in business intelligence and in configuring, designing, and building visualizations and dashboards using Tableau and other BI tools (Tableau Prep, Tableau Dashboard, Tableau Server, Business Objects, Power BI, etc.)</li><li>Excellent problem-solving, communication, and organizational skills.&nbsp;</li><li>Experience in performance tuning and optimization of ETL processes to enhance efficiency and minimize data processing time</li><li>Detail-oriented with excellent time management and organizational skills to meet a critical deadline</li><li>Self-motivated, ability to prioritize work and multi-task across many assignments in a fast-paced work environment</li><li>Collaborated with cross-functional teams to gather requirements, design data models, and implement scalable data architectures to support business analytics and reporting needs</li><li>Proven ability to work independently and with a team.</li><li>Ability to interpret technical or dashboard structure</li><li>Experience in business domains – supply chain, pricing, sales &amp; marketing, sales, finances</li></ul>

Responsibilities: <ul><li>Develop distributed system architecture and system integration&nbsp;&nbsp;</li><li>Design event-driven applications leveraging microservices architecture on cloud platform&nbsp;</li><li>Carry out Model and assess complex IT solutions&nbsp;&nbsp;</li><li>Work closely with platform engineers and other IT professionals to choose compatible design solutions&nbsp;</li><li>Manage and comply with release management process&nbsp;</li><li>Analyze the scope and expected organizational impact of information systems&nbsp;</li><li>Evaluate existing systems and provide advice on how to meet organizational requirements&nbsp;</li><li>Ensure that the technical components of the project are in sync with the business needs of the organization&nbsp;</li><li>Ensure that information systems are secure from threat&nbsp;</li><li>Provide advice on project design, project costs, and expected benefit&nbsp;</li><li>Identifies technical debt and proactively recommends alternatives or improvements&nbsp;</li></ul> Requirements: <ul><li>University degree in Computer Science, Computer Engineering or related subjects preferred&nbsp;&nbsp;</li><li>8+ years of work experience building applications&nbsp;</li><li>Advanced understanding of IT infrastructure and enterprise architectures&nbsp;</li><li>Proven experience with microservices-based architecture&nbsp;</li><li>Proficiency in coding with modern programming languages such as C#, Python, or Node.js&nbsp;</li><li>API-first development experience&nbsp;</li><li>Experience with Cloud Computing (Azure preferable)&nbsp;</li><li>Extensive expertise in any modern document-oriented database, with a preference for MongoDB&nbsp;</li><li>Experience in developing components for Event-Driven Architecture, with a minimum of production-level experience using Event Hubs or Event Grid (or similar technologies like Kafka)&nbsp;</li><li>Experience working in an agile environment with a focus on engineering practices like testing, continuous integration, etc.&nbsp;</li><li>Good knowledge of virtualization&nbsp;&nbsp;</li><li>Analytics mindset with critical thinking and problem-solving skills&nbsp;</li><li>Fine knowledge of industry trends and emerging technologies&nbsp;</li><li>Fluent in English&nbsp;</li></ul>

Responsibilities: <ul><li>Primary responsibility is to develop applications which will be used by the operators/technicians in the manufacturing area globally by using .net platform.</li><li>Developing, testing, and maintaining software applications using .NET framework and related technologies.</li><li>Collaborating with cross-functional teams to gather and analyze requirements, and design and implement software solutions.</li><li>Maintain the existing applications and fix issues and explain the user about the timelines in resolving the issues.</li><li>Troubleshooting and debugging software issues, and providing timely resolutions.</li><li>Collaborating with peers to support/design the best solution possible.</li><li>Ensure error-free coding that adheres to best coding practices.</li><li>Implement best practices and methodologies for security, quality, and development approach.</li></ul> Requirements: <ul><li>Client is looking for a Full Stack Developers with 5 - 10years of experience in .net technology.</li><li>Strong written and verbal communication skills, with the ability to work effectively with US- based teams.</li><li>5+ years of recent hands-on experience developing ASP.NET Core and ASP.NET MVC applications.</li><li>Strong understanding of object-oriented programming (OOPs) concepts and software design principles.</li><li>Familiarity with the entire software development lifecycle (SDLC) and development methodologies.</li><li>Hands-on experience in database design, architecture, and integration.</li><li>Proficient with: WebAPI, Entity Framework, ADO.NET, SQL Server, HTML, CSS, JavaScript,jQuery, Ajax</li></ul> Preferred Qualifications: <ul><li>Knowledge in OSI Soft PI tools. - PIMS good to have</li><li>Basic SAP knowledge.</li><li>VB.net windows applications.</li><li>Blazor (server-side and/or WebAssembly) — experience building component-based UIs with Blazor</li><li>AngularJS — experience maintaining or migrating AngularJS single-page applications,VB.NET</li><li>Experience working with modern web technologies and frameworks; ability to evaluate and adopt appropriate tools for project needs.</li></ul>

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33 sql database Jobs found

Principal HANA Database Administrator

Senior Software Engineer 1

Staff Software Engineer

Senior Software Engineer 2

IAD / SAD / LAD GCP Data Engineer

Senior Business Intelligence Analyst

Associate Data Engineer

Senior - Data Engineer

C# Developer (SSE)

Senior Systems Analyst – DotNet Developer Full stack

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33 sql database Jobs found

Principal HANA Database Administrator

Senior Software Engineer 1

Staff Software Engineer

Senior Software Engineer 2

IAD / SAD / LAD GCP Data Engineer

Senior Business Intelligence Analyst

Associate Data Engineer

Senior - Data Engineer

C# Developer (SSE)

Senior Systems Analyst – DotNet Developer Full stack

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