... contract and the Sponsor’s expectations. Core Responsibilities • Acts as Functional Lead for Data Management including primary contact for 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 ...
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. ...
... pipelines to convert data between source and target systems, following the mapping and transformation logic defined by the Architect. Good working knowledge of data mapping, source-to-target transformation logic, and reconciliation techniques for large datasets. Collaborate with application engineers, business analysts, and ...
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 ...
... 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 Work jointly on data architecture decisions ...
... preparing data for prescriptive and predictive modeling. Data engineers also develop data set processes for data modeling, mining, and production, integrate new data management technologies and software engineering tools into existing structures, and collaborate with data scientists and analysts to ensure data accuracy and ...
... 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.- ...
... Shell Scripting. Strong analytical skills for data 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. ...
... ~ Manage budgets related to data sourcing, annotation operations, and vendor contracts. 8+ years of overall experience in GIS, remote sensing, or geospatial data operations; Strong hands-on knowledge of satellite imagery sourcing (optical, SAR, multispectral) and remote sensing data pipelines. - Proven experience managing ...
... help implement improvements to data workflows, templates, and automation to make delivery faster, more consistent, and more scalable. Hands-on experience in a data-focused role (for example, data specialist, data analyst, data migration, or similar) in a professional environment. Strong skills in Microsoft Excel, including ...
... well-documented code that others can understand and maintain All About You passionate about using data visualisations to tell stories 1–3 years experience in creating data visualisations proficient in R or Python proficient in using code to clean data, transform, and aggregate data familiar with version control concepts and tools ...
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 ...
... Python for data engineering workloads.- Demonstrated experience building ETL/ELT pipelines that transform and process large volumes of structured and unstructured data.- Solid understanding of data warehousing concepts and data modelling techniques (e.g. dimensional modelling, slowly changing dimensions).- Hands-on experience ...
... bringing passion and customer focus to the business. Data Engineer (data integration and streaming platforms) Data Engineer with strong experience in event-driven data integration and streaming platforms, ideally with hands-on expertise in Confluent Kafka and CDC technologies. Experience Strong Data Engineering background, including ...
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 ...
... Cloud Data Migration Leadership : Lead cloud migration projects, developing scalable Spark pipelines. Implement Bronze, Silver, and gold tables for scalable data systems. Optimize Spark code to ensure efficient cloud migration. Data Modeling : Develop and maintain data models with strong governance practices. Data Cataloging ...
... processes. - Experience translating business requirements into features, user stories, data requirements, and acceptance criteria. - Hands-on experience with data validation, reconciliation, source-to-target mapping, UAT, and defect management. - Understanding of data flows, cloud platforms, data repositories, and reporting/visualization ...
... contributing to large-scale data projects on Google Cloud Platform. You will work closely with senior engineers and data analysts to build and maintain robust data pipelines, helping to turn raw data into actionable https://jobeax.com/link/d6zqLcygnqsI43u7 Responsibilities:- Develop, test, and maintain data pipelines and ...