... engineering techniques and business acumen Education and Experience: - Bachelor's or Master's degree in computer science, software engineering, information technology or equivalent combination of data engineering professional experience and education. - 7+ years proven Data Engineering experience in a complex agile environment
... global projects. - Degree in Engineering, Computer Science, Information Technology, Data Science, or a related discipline. Formal training or certification in Data provisioning will be preferred. Experience: · 5+ years of rich experience with Data provisioning within Supply Chain . (prior experience collaborating with global ...
... internal liaison between Data Management/Operations and Project Management, Clinical Monitoring, and other functional groups • Coordinate the work of the assigned Data Management/Data Operations team • Ensures launch, delivery and completion of all Data Management activities and milestones according to contractual agreement ...
Role : Data Engineering Manager (E-commerce & AI-First Platform)Location : Bangalore, India Experience : 7 -10+ Years Role Overview : We are seeking a high-impact Data Engineering Manager to lead the end-to-end data foundation for a fast-scaling global e-commerce and marketplace operator. This is a strategic leadership ...
The Role You own the data substrate and the batch runtime of a product we are building from scratch. This is a data-specialist seat, not a general backend seat. Routine application development is guided in weekly reviews; what cannot be substituted is your depth in data modeling, set-based computation, and pipeline correctness. ...
... (PowerShell/Python) for data validation and automation. Good understanding of data quality, de-duplication, cleansing, and validation techniques. Working knowledge of cloud data platforms (Azure SQL, Azure Synapse, or AWS RDS/Redshift) and hybrid on-prem-to-cloud migration patterns. Awareness of data security and compliance considerations ...
Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. https://jobeax.com/link/6WcBICn0LM558SP0 ...
... of Indians, combining technology, scale, and convenience in a seamless digital experience. Collaboration with Data Engineering Team Partner closely with our Data Engineering team to ensure efficient data collection, storage, and processing Collaborate in designing and optimizing data pipelines for seamless data movement ...
... engineering best practices(e.g. data modeling, pipeline idempotency, operational observability) Responsible for deploying secure and well-tested software and data-assets that meet privacy and compliance requirements; Responsible for service reliability and following site-reliability engineering best practices: on-call rotations ...
... business-focused data solutions.- Mentor junior engineers and promote data engineering best https://jobeax.com/link/E00qLmZDpXHJjFEm Qualifications : - 5+ years of Azure Data Engineering experience.- Experience with large-scale distributed data processing systems.- Databricks and/or Azure Data Engineering certifications preferred.- ...
... engineering tasks. Familiarity with tools likeApache Airflowfor data migration workflows. Experience with database systems such asOracle,MySQL, orDB2. Knowledge of legacy data migration from diverse sources. Previous experience with data migration to platforms like ServiceNow. Familiarity with Siebel Complex assets data model.
... through the company's product suites About The Role We are looking for a Data Scientist to join Mastercard's Economics Institute, reporting to the team lead for Data Systems Engineering. An individual who will: create clear, compelling data visualisations that communicate economic insights to diverse audiences develop reusable ...
Experience : 7+ years of experience in Data Engineering, Data Quality, or Data Governance. 3+ years of experience working on AWS Data Platforms. Strong hands-on expertise in: - Python - SQL - Data Quality Engineering - Data Profiling - Data Validation Frameworks - Experience building AI-powered data quality and governance ...
... Technology, or a related discipline.- Comfortable working in a fast-paced agile development environment.- Good written and verbal communication skills in https://jobeax.com/link/0248uJ1uOn2H3moO : - Experience with infrastructure-as-code tools (e.g. Docker, Kubernetes).- Exposure to data quality frameworks, data observability tooling, ...
... Create compelling, story-driven visualizations that communicate complex financial trends and risks simply and effectively. ~ Deployment & Governance: Manage data connections, publish data sources, and administer security settings on Tableau Server to govern access and ensure data integrity. Experience: 3-5 years of focused ...
... management and Schema Registry Experience integrating data between legacy and modern platforms Strong SQL/Python skills and experience working with relational databases Understanding of data mapping, data quality, and common data models Strong stakeholder communication skills and ability to work across business and technical ...
Data Scientist with GenAI (5 - 8 Years) - BangaloreWe are looking for a highly skilled Data Scientist with Generative AI expertise to design, develop, and deploy AI-driven solutions that solve complex business challenges. The role involves working on Machine Learning models, Large Language Models (LLMs), Retrieval-Augmented ...
... Azure . Ensure data quality, governance, reliability, monitoring, and compliance. Partner with Data Scientists, Fraud Analysts, and Engineering teams to deliver data-driven solutions. 4+ years of experience in Data Engineering or Big Data Engineering. - 2+ years of experience building large-scale distributed data processing ...
... experience in data engineering, with a proven track record in complex pipeline development and cloud-based data migration projects. Bachelor’s or higher degree in Computer Science, Data Engineering, or a related field. Skills : Proficiency in Spark, SQL, Python, and other relevant data processing technologies. Expertise in ...