3,055 junior data scientist jobs in India.

Senior Data Engineer []

... dbt and Matillion.- Medallion & Layered Frameworks : Architect multi-layered data lakes (Bronze, Silver, Gold) following the Medallion Architecture, ensuring data quality, lineage, and governance are embedded at every stage.- Hybrid & Multi-Cloud Orchestration : Design resilient data movement strategies across AWS, Azure, ...

... seasoned Data Engineer to join our high-performing data team in Gurgaon. In this role, you will be responsible for architecting, building, and maintaining robust data pipelines that power our analytical ecosystem. You will collaborate closely with cross-functional teams, including data scientists, product managers, and business ...

... Support data lineage, traceability and data-cataloguing https://jobeax.com/link/w1d7bRHtPmfLc8oX Skills :- 3-7 years of relevant experience in data testing, data validation, data engineering QA or analytics quality assurance.- Strong hands-on SQL skills with the ability to independently investigate and reconcile data.- ...

... experiments systematically, compare alternative approaches and select solutions that meet agreed business objectives and performance criteria. - Perform end-to-end data analysis, including data extraction, cleaning, validation, exploration and error analysis, using large-scale data stores. Apply appropriate algorithms and models ...

... data engineering solutions while mentoring junior team members. Key Responsibilities - Design, develop, and maintain scalable, reliable, and high-performance data pipelines for batch and real-time data processing. - Implement and optimize Kafka-based event streaming solutions , ensuring reliable data ingestion, processing, ...

... pipelines to ingest, transform, and load data from diverse sources (databases, APIs, streaming platforms, third-party systems). - Develop and maintain data warehouse/data lake architectures, ensuring data quality, consistency, and reliability - Collaborate with data scientists, analysts, and product teams to understand data requirements ...

... working with data scientists and business teams in a matrix environment to deliver production-grade solutions. Responsibilities - Design, develop, and maintain data pipelines extracting from diverse sources into data lake and warehouse - Partner with data scientists, analysts, and business teams to translate requirements ...

... environment. Responsibilities - Design, develop, and maintain data pipelines extracting data from various sources into data lakes and warehouses - Collaborate with data scientists, analysts, and business stakeholders to translate requirements into production-grade pipelines and datasets - Build and maintain platforms supporting ...

... data for existing analytics solutions, tooling, and solutions, researching new features and implementing automations. You will support business users, Data Scientists and Data Analysts to convert business expectations into data products and data models usable by business to deliver AI, analysis, reporting, and data-driven ...

... and develop solutions. Within time you should be able to provide your own pipeline of ideas or problems that we can tackle. As with many problems within the Data Engineering space, defining effective pipelines to gather, curate and manage the data is as important as selecting the best approach using ML techniques. You ...

... participating in project planning, delivery and cross-team collaboration. What will you do in this role: - Design, develop, and maintain data pipelines to extract data from various sources and populate a data lake and data warehouse. - Work closely with data scientists, analysts, and business teams to understand data requirements ...

... hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We’re looking for an experienced Data Engineer to join our Data team. You will build and scale our data pipelines, establish best practices, ensure data quality, and enable self-service data access across teams. – Own and streamline data pipelines from ingestion ...

... improve performance and reduce operational costs for business users.- Orchestrate and monitor automated data workflows using Airflow to ensure timely delivery and data integrity across all production environments.- Collaborate with engineering teams to integrate disparate data sources, ensuring seamless data flow and consistency ...

Responsibilities - Develop and enhance application systems and programs using application development procedures, programming concepts, and script tools. - Analyze and interpret code to identify system enhancements, vulnerabilities, and security issues.

... between hard-core software development and research and discovery data analysis. Our Engineering team builds core components used by our company's Research Labs’ data analytics, visualization, and management workflows. The analysis tools and pipelines built for data processing by our team in partnership with our scientists ...

We are looking for a skilled Data Engineer to design, build, and maintain scalable data pipelines and https://jobeax.com/link/vpOClr3TmXTGv2SV will work closely with data scientists, analysts, and business stakeholders to ensure reliable, high-quality data across our https://jobeax.com/link/Ss9gtuI3ubgFfQht :- Design and ...

... https://jobeax.com/link/X80RNCFlYo0KB0xG customer and account data from source documents within time limits 2. Compiling, verifying accuracy, and sorting information to prepare source data for computer entry 3. Reviewing data for deficiencies or errors, correcting any incompatibilities, and checking output Skill(s) required Computer skills MS-Excel ...

... multiple domains, ensuring seamless integration and harmonization of SAP and non-SAP data across the enterprise ecosystem. - Design and modernize enterprise data solutions that accurately replicate complex operational processes while supporting both current and historical business data needs. - Drive large-scale transformation ...

... margin drivers, making disciplined and efficient decision-making critical to business performance. AI Data Strategy is a newly established function that owns this data strategy. It integrates customer, product, technical and business requirements to determine what data AiDASH acquires, when, at what cost, and on what basis, ...