.NET Developer

AI/ ML Engineer

Technical Support Specialist

Technical Lead - Data Engineering

QA Tester

Intermediate Application Developer - Java Full Stack

Senior Proactive Engineer

Technology Operations Analyst

Senior Data Scientist II

VP/Director, Risk Roles

Responsibilities: <ul><li>Assist in developing and maintaining applications using .NET Core</li><li>Work on frontend features using AngularJS or similar frameworks</li><li>Develop and support mobile applications on Android platform</li><li>.NET Core development</li><li>Frontend development using AngularJS or related technologies</li><li>Mobile development using Android Studio</li></ul> Requirements: Education Qualifications: <ul><li>Degree/Diploma in Computer Science, Computer Engineering or equivalent.</li></ul>

Responsibilities: <ul><li>Responsible for ensuring that ML models and pipelines are deployed successfully into production</li><li>Implementation of ML features for new and existing systems</li><li>Deploy applications to AWS cloud leveraging on the full spectrum of the AWS cloud services</li><li>Automate model training, testing and deployment using CI/CD</li><li>Understand and implement metrics to verify effectiveness and soundness of the ML model</li></ul> Requirements: <ul><li>Formal training in a quantitative discipline (e.g., statistics, operations research, economics, computer science, mathematics)</li><li>5 years of relevant work experience in data analysis, data science or related fields, with deep expertise in statistical data analysis</li><li>Experience with Python and related ML libraries (eg. Pandas, Pytorch)</li><li>Experience with database languages (e.g. SQL)</li><li>Experience working in a multi-disciplinary team of data scientists, software engineers, product managers and subject domain experts</li><li>Experience in Agile working environment</li></ul> Preferred requirements: <ul><li>Experience with AWS cloud services like AWS Textract and Comprehend is preferred</li><li>Experience with Dagster/Airflow is preferred</li><li>Experience in MLOps</li><li>Experience in delivering Natural language processing (NLP) products</li></ul>

Responsibilities: <ul><li>Provide technical support and maintenance for CLS (ACBS) environments, ensuring high availability and performance.</li><li>Collaborate with development, QA, and infrastructure teams to resolve technical issues related to ACBS.</li><li>Support and troubleshoot ACBS-related batch processes, data interfaces, and connectivity components.</li><li>Work closely with project managers and architects to provide technical input on integration and migration strategies.</li><li>Assist in the planning and execution of data migrations, system integrations, and environment upgrades.</li><li>Monitor system logs and performance metrics to proactively identify and resolve potential issues.</li><li>Document technical procedures, issue resolutions, and configuration settings.</li></ul> Requirements: Experience: <ul><li>2–5 years of experience supporting ACBS (Advanced Commercial Banking System) environments, especially CLS configurations.</li><li>Strong understanding of ACBS architecture, batch jobs, workflows, and system integration points.</li><li>Experience in integration and migration projects, preferably within banking or financial services.</li><li>Proficiency in scripting (e.g., PowerShell, Shell), SQL, and basic middleware configurations.</li><li>Familiarity with interface technologies like REST, SOAP, MQ, or file-based integrations.</li><li>Ability to work under pressure and manage multiple priorities in a fast-paced environment.</li></ul> Preferred Qualifications: <ul><li>Knowledge of ACBS-related modules such as loan servicing, collateral management, or credit facilities.</li><li>Experience working in environments with Agile or DevOps methodologies.</li><li>Exposure to cloud infrastructure (AWS, Azure) is a plus</li></ul> Educational Qualification: <ul><li>Bachelor’s degree in computer science, Information Technology, Software Engineering, or a related field.</li></ul>

Responsibilities: <ul><li>Define and drive the data engineering strategy and roadmap.</li><li>Ensure code quality and best practices (e.g., modularity, reusability, scalability, and testability).</li><li>Review code and mentor engineers on data engineering best practices.</li><li>Optimize data workflows for performance, reliability, and cost.</li><li>Design and implement data lake/warehouse architectures.</li><li>Work closely with data scientists, analysts, product managers, and business stakeholders to define data needs.</li><li>Implement data quality checks and observability tools.</li></ul> Requirements: Experience: <ul><li>10+ years of experience in data engineering with a proven track record of delivering large-scale data solutions.</li><li>Strong expertise in Snowflake, Advanced SQL, GBI ETL framework, and Python.</li><li>Hands-on experience in designing and implementing data pipelines, data integration, and data warehousing solutions.</li><li>Fluency in English and Mandarin (both spoken and written), enabling effective communication with global stakeholders.</li><li>Prior experience in stakeholder management, including requirements gathering, design playback, and presentations.</li><li>Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.</li><li>Strong problem-solving skills and the ability to think critically about data architecture and process optimization.</li></ul> Educational Qualification: <ul><li>Bachelor’s degree in computer science, Information Technology, Software Engineering, or a related field.</li><li>Advanced degree in Computer Science, Data Engineering, or a related field.</li><li>Certifications in Snowflake or data engineering tools are a plus.</li></ul>

Responsibilities: <ul><li>Develop detailed test plans based on project requirements and specifications.&nbsp;</li><li>Provide feedback on quality standards, usability, and areas for improvement.</li><li>Automates test scenarios and expected outcomes.&nbsp;</li><li>Conduct regression, integration, user acceptance, and performance testing.</li><li>Conducts comprehensive testing and risk-based assessments of the testing objects.&nbsp;</li><li>He/She uses source documentation as input and contributes to the planning and implementation of testing activities.&nbsp;</li><li>Leads testing components of large and complex projects, assigns tasks, provides direction to resources, and reports progress to project stakeholders.&nbsp;</li><li>He/She creates and selects tools and methodologies for review and approval by management.</li></ul> ﻿Requirements: <ul><li>Bachelors Degree or International equivalent&nbsp;</li><li>Bachelors Degree or International equivalent in Computer Science, Information Systems, Mathematics, Statistics or related field - Preferred&nbsp;</li><li>comprehensive knowledge of technical skills, principles, practices, and procedures of testing methodologies and working knowledge in planning, designing, and conducting QA reviews and inspections.&nbsp;</li><li>He/She provides expertise for key business functions and supporting technologies.&nbsp;</li><li>Provides mentorship and expertise in technologies and processes for Information Services Management (ISM) and Quality Assurance (QA).&nbsp;</li><li>He/She maintains an awareness of emerging technologies to ensure a competitive advantage.</li><li>Experience with both web and client/server based testing</li><li>Minimum 8 Years of Relevant Experience in IT Test Automation.</li><li>Should have strong Mainframe testing [CICS, JCL, DB2, Cobol]</li><li>Must be able to test and debug batch jobs (JCL).</li><li>Must be able to perform backend testing by executing SQL queries.</li><li>Expertise in APIs &amp; Web Services testing</li><li>Hands-on experience in Selenium, TestNG and Cucumber frameworks</li><li>Good in test execution reporting skills</li><li>Expertise in Test Cases Design and Test Data management</li><li>Expertise in tools like PostMan, SOAP UI, WinSCP, Oracle, Jenkins, GitHub and AppDynamics.</li><li>Should be well versed with Agile testing and Continuous Testing</li><li>Experience with Test Management tools</li><li>Knowledge on AZURE DEVOPS&nbsp;</li><li>Understanding of SAFe Agile methodologies</li><li>Should be solution-oriented and have problem solving aptitude</li><li>Should have excellent communication and presentation skills</li><li>Knowledge on Logistics domain will be an advantage</li><li>Good to have Performance Testing experience.</li><li>Knowledge on JMeter / Performance center will be an advantage.</li><li>Any certifications in test automation</li></ul>

Responsibilities: Development:&nbsp; <ul><li>Development of complex applications and services using best practices and coding standards</li></ul> Integration:&nbsp; <ul><li>Collaborate with other development teams to integrate various systems and services.</li></ul> Troubleshooting:&nbsp; <ul><li>Troubleshooting and resolution of technical issues.</li><li>Contributes to maintenance and support.</li></ul> Requirements: <ul><li>Minimum 5 to 7 years of development experience.</li><li>Knowledge and development experience on any WMS Knowledge is preferable.</li><li>Experience working on in SCRUM &amp; Agile Development Methodology&nbsp;</li><li>PMP or equivalent certification preferable.</li><li>Self-Motivated Learner</li><li>Excellent written and verbal communication skills.</li><li>Bachelors degree and/or master’s degree in computer science or related discipline or the equivalent in education and work experience</li></ul>

Responsibilities: <ul><li>Analyze DEX tool data to identify trends, predict issues, and propose proactive interventions to enhance employee digital experience.</li><li>Develop, test, and maintain scripts and tools using PowerShell and Python to automate repetitive tasks and improve system performance.</li><li>Work with data warehouses like Redshift and analytics platforms such as Databricks. Use SQL or another programming language to work with databases and create dashboards to extract insights and develop actionable recommendations.</li><li>Develop dashboards and reporting tools using SysTrack and Microsoft Power BI to provide visibility into key performance metrics.</li><li>Collaborate with IT Service Desk and Desktop Support Teams to identify opportunities for automation and efficiency improvements.</li><li>Proactively engage with stakeholders to understand business requirements and translate them into technical solutions.</li><li>Design and implement innovative ideas to enhance customer service and reduce the mean time to resolution (MTTR).</li><li>Act as a consultant to various teams, providing technical expertise in the use of DEX tools and scripting languages.</li><li>Lead initiatives to integrate new technologies or methodologies that improve the IT environment and employee satisfaction.</li><li>Conduct Root Cause Analysis (RCA) on recurring issues and propose permanent solutions.</li><li>Engage with vendor support resources to resolve complex technical challenges and evaluate new technologies.</li><li>Work with APIs to integrate and enhance system capabilities, ensuring seamless interaction between tools and platforms.</li></ul> Requirements: <ul><li>Proficiency in DEX tools like SysTrack, Nexthink, or similar platforms.</li><li>Strong coding skills in PowerShell and Python.</li><li>Hands-on experience with data analytics platforms, such as Databricks, and data warehouses like Redshift. Proficiency in SQL as a programming language for working with databases and creating dashboards.</li><li>Expertise in Microsoft Power Apps and Power BI for data visualization and automation.</li><li>Experience in working with APIs for system integration and enhancements.</li><li>Deep understanding of IT environments, including endpoint devices, software, and cloud-based tools.</li><li>Ability to interpret data and provide actionable insights to improve digital employee experience.</li><li>Strong problem-solving skills, with experience conducting RCA and developing innovative solutions.</li><li>Demonstrated ability to identify and act on trends and opportunities in emerging technologies.</li><li>Knowledge of IT Service Management frameworks (e.g., ITIL) and their practical application.</li></ul>

Responsibilities: Process Improvement and Technology Implementation: <ul><li>Assist in implementing new technologies to streamline HR processes, reduce costs, and improve service quality.</li><li>Analyze current HR technologies to identify automation opportunities and process improvement areas.</li><li>Support the Service Excellence team in driving HR technology initiatives, automation, and continuous improvement.</li><li>Help develop and implement new technology solutions to enhance HR operations.</li></ul> Data Analysis and Reporting: <ul><li>Gather, analyze, and interpret data related to technology performance, process efficiency, and service delivery.</li><li>Create reports to identify trends, issues, and opportunities for improvement in technology and process performance.</li><li>Analyze HR metrics and data to support decision-making and strategic planning.</li></ul> Collaboration and Stakeholder Engagement: <ul><li>Work closely with cross-functional teams to understand business requirements and align technology solutions with HR workflows.</li><li>Provide technical support to the shared service team and train members on new technologies and systems.</li><li>Liaise with technology vendors and service providers to ensure optimal service and value.</li></ul> Project Management and Service Delivery: <ul><li>Manage technology-related projects within the shared service center, ensuring projects are completed on time and within budget.</li><li>Monitor and evaluate the effectiveness of implemented technology solutions and process improvements.</li><li>Optimize service delivery through the enhancement of self-service portals, chatbots, and other digital tools.</li></ul> Compliance and Risk Management: <ul><li>Ensure all technology solutions comply with company policies, industry standards, and legal regulations.</li><li>Identify and mitigate technology-related risks, including cybersecurity risks.</li></ul> Requirements: Essential: <ul><li>Bachelors degree in Information Technology, Computer Science, Engineering, or a related field.</li><li>Minimum of 2+ years of relevant experience in technology, IT support, or similar roles.</li><li>Proven experience with Workday and ServiceNow platforms, especially HR modules (Workday HCM, ServiceNow HR Service Delivery).</li><li>Strong analytical skills with experience in data reporting and dashboard creation.</li><li>Familiarity with industry-specific regulations and data security standards.</li><li>Attention to detail and commitment to ensuring accuracy and quality in technology solutions and documentation.</li></ul> Preferred: <ul><li>Certifications such as Certified Business Analysis Professional (CBAP), Certified Data Analyst (CDA), or relevant certifications in tools like Tableau or Power BI.</li><li>Experience with Workday HCM modules, including Core HR, Talent Management, Recruiting, and Payroll.</li><li>Knowledge of Workday integration tools, including EIB (Enterprise Interface Builder) and Workday Studio.</li><li>Familiarity with ServiceNow modules, particularly in HR Service Delivery, Incident Management, and Knowledge Management.</li><li>Proficiency in programming languages such as Workday Studio and familiarity with SQL or Python for data analysis.</li><li>Strong communication skills with the ability to explain technical concepts to non-technical stakeholders.</li></ul>

About the Role : <ul><li>As a data scientist on our team, you will work on new product development in a small team environment writing production code in both run-time and build-time environments.&nbsp;</li><li>You will help propose and build data-driven solutions for high-value customer problems by discovering, extracting, and modeling knowledge from large-scale natural language datasets including matter and contract repository, invoice/legal spend data and work management.&nbsp;</li><li>You will prototype new ideas, collaborating with other data scientists as well as product designers, data engineers, front-end developers, and a team of expert legal data annotators.</li><li>You will get the experience of working in a start-up culture with the large datasets and many other resources of an established company.</li><li>We are committed to advancing gender diversity within the technology sector and supporting greater representation of women in tech. To further this commitment,</li></ul> Responsibilities: <ul><li>Develop and implement LLM-based applications tailored for legal use-cases&nbsp;</li><li>Evaluate and help maintain our data assets and training/evaluation data sets&nbsp;</li><li>Design and build pipelines for preprocessing, annotating, and managing legal document datasets&nbsp;</li><li>Collaborate with legal experts to understand requirements and ensure ML-applications meet domain-specific needs&nbsp;</li><li>Conduct experiments and evaluate model performance to drive continuous improvements&nbsp;</li><li>Fine-tune and deploy large language models to enhance their performance on legal text processing tasks&nbsp;</li><li>Interface with other technical personnel or team members to finalize requirements.&nbsp;</li><li>Work closely with other development team members to understand complex product requirements and translate them into software designs.&nbsp;</li><li>Successfully implement development processes, coding best practices, and code reviews for production environments.</li></ul> Requirements:&nbsp; <ul><li>Able to work in person 2 days per week&nbsp;</li><li>Bilingual English and Spanish&nbsp;</li><li>Practical experience with large language models, prompt engineering, fine-tuning RAG-based applications and benchmarking, using frameworks such as LangChain&nbsp;</li><li>MS in Data Science, Computer Science, Statistics, Machine Learning, or relevant work experience&nbsp;</li><li>Practical experience in Natural Language Processing methods and libraries such as spaCy, word2vec, Flair, BERT (ways to vectorize text data)&nbsp;</li><li>Formal training in machine learning: dimensionality reduction, clustering, embeddings, and sequence classification algorithms&nbsp;</li><li>Strong Python background&nbsp;</li><li>Knowledge of AWS, GCP, Azure, or other cloud platform&nbsp;</li><li>Understanding of data modeling principles and complex data models.&nbsp;</li><li>Proficiency with relational and NoSQL databases as well as vector stores (e.g., MySQL, Postgres, Solr, Elasticsearch/OpenSearch)</li><li>Knowledge of Spark-Scala, Ray or other distributed computing systems highly preferred&nbsp;</li><li>Knowledge of API development, containerization, and machine learning deployment highly preferred&nbsp;</li><li>Experience with ML Ops/AI Ops including experiment tracking tools like LangFuse and DVC&nbsp;</li><li>Experience with deep learning frameworks such as PyTorch, Tensorflow and Hugging Face Transformers Work in a way that works for you We promote a healthy work/life balance across the organization. </li><li>We offer an appealing working prospect for our people.&nbsp;</li><li>With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate. </li><li>Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.</li></ul>

Responsibilities: <ul><li>Critically evaluate, develop and implement refinements to risk models for investment portfolio including reporting packages for management to review investment model outputs, sensitivities and results.</li><li>Monitoring and reviewing investment, credit and market risk in the investment portfolio working closely with the Investment, Risk and Legal teams.</li><li>Preparing reporting outputs and analysis on credit and market risk and presenting results to senior management on a regular basis</li><li>Review transactions that are presented to the Investment Committee and provide an overview of investments risks and mitigants.</li><li>Continually challenge and ensure investment risk profile stays within agreed risk appetite through the establishment, review and monitoring of risk limits.</li><li>Partner with Technology Services Group for model implementation and production.</li><li>Analyze and provide insight into market trends and investment updates.</li><li>Assist the broader Risk function in ad hoc projects and analysis.</li></ul> Requirements: <ul><li>7-10 years’ experience in an investment risk, financial market risk or asset management role</li><li>Prior insurance company experience preferred</li><li>Deep understanding of credit products, securitization and illiquid assets</li><li>Strong analytical/quantitative background including experience with building investment risk models</li><li>Hands-on experience with fixed-income analytics and data manipulation (Python, SQL)</li><li>Knowledge of econometric and/or stochastic modeling a plus</li><li>Strong communication and presentation skills with great attention to detail</li><li>Bachelor’s degree in quantitative fields, Finance/Econ, Math/Stat, Science or Engineering</li><li>Advanced Degree preferred.</li><li>Proactive, energetic, flexible and resourceful</li><li>Ability to represent within the business community</li><li>Ability to multi-task and work in a very fast-paced and team-oriented environment</li></ul>

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20 sql databases Jobs found

.NET Developer

AI/ ML Engineer

Technical Support Specialist

Technical Lead - Data Engineering

QA Tester

Intermediate Application Developer - Java Full Stack

Senior Proactive Engineer

Technology Operations Analyst

Senior Data Scientist II

VP/Director, Risk Roles

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Skills

Industry

Location

Jobtitle

20 sql databases Jobs found

.NET Developer

AI/ ML Engineer

Technical Support Specialist

Technical Lead - Data Engineering

QA Tester

Intermediate Application Developer - Java Full Stack

Senior Proactive Engineer

Technology Operations Analyst

Senior Data Scientist II

VP/Director, Risk Roles

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

EMPLOYER

TALENT

COMPANY

Contact Us

JOBS BY SKILLS

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