2,070 backend data entry jobs in India.

• Contract

... Own end-to-end delivery of data products—from raw source data ingestion through transformation to governed, consumption-ready datasets. Collaborate with the Data Platform team on pipeline integration, CI/CD workflows, and adherence to shared coding and deployment standards. - Data Quality & Analysis: Implement data quality ...

... of our transformation, we know that data is at the center of everything that we do. We seek a dedicated professional to help take us to the next level of our Data & Analytics journey. We depend on our Data Analysts to investigate data seeking opportunities to reduce duplicates, improve the quality and discover anomalies ...

• Hybrid

... MAKE AN IMPACT Job Title: Data Engineer _DEPS Experience: 3–5 Years Location: Bangalore and Pune (Hybrid – Client Office) Job Summary: Seeking a skilled Senior Data DevOps Engineer having experience in Cloudera platforms, data engineering, and DevOps automation. The ideal candidate will manage and optimize Cloudera environments, ...

• On-site

... efficient code using Scala and Spark - Work with Azure or on-premises Hadoop ecosystem for data processing - Solve real-world engineering problems related to data infrastructure - Collaborate with cross-functional teams to deliver data-driven solutions - Ensure data quality, reliability, and performance across data systems ...

• Hybrid

... Python. Develop and optimize large-scale data transformations using PySpark. Ensure data quality, reliability, and performance of data pipelines. GCP BigQuery Data Ingestion & ETL/ELT Data Pipeline Orchestration Python PySpark Strong SQL and data engineering fundamentals hands-on experience in GCP-based data platforms.

• Hybrid

... powering self-serve analytics. Write performant Spark/PySpark and SQL; optimize partitioning, storage formats, and query cost. Data Quality & Reliability (10%) Own data quality: validation, freshness/SLA monitoring, and observability so bad data is caught before it reaches consumers. Make the data layer debuggable: lineage, tests, ...

... deploying complex data architectures within Microsoft Fabric and the broader Azure ecosystem.- Advanced proficiency in Python and SQL for building sophisticated data processing pipelines and complex analytical models.- Strong background in data engineering principles, including ETL/ELT design, data modeling, and performance ...

... Docker, Cloud-Native Infrastructure, CI/CD pipelines. Industry Context: Data engineering experience in Banking Risk, Retail Products, Cards, Mortgage, Deposits, or Wealth Management. Assumed Requirements / Certifications: Databricks Certified Data Engineer, AWS Certified Data Analytics, or Azure Data Engineer Associate.

... alerting for pipeline health, data freshness, and SLA adherence; lead incident response and post-mortems for data issues Act as the technical authority on internal data contracts and API schemas in cross-functional discussions with backend, product, and AI/ML teams 5+ years of experience in data engineering, with a proven track ...

... recurring insight packs and basic statistical summaries under supervision.- Run data quality checks and validate metrics.- Support test cases, documentation and data validation for dashboard https://jobeax.com/link/uZNeF9ElGyYiAC23 We Expect From You :- Build strong SQL and data-hygiene habits early; accuracy matters more ...

... of truth. Develops and operationalizes data pipelines to bring data into Costco’s GCP landscape for the delivery of certified data sets Works in tandem with Data Architects, Data Stewards, and Data Quality Engineers to design data pipelines and recommends ongoing optimization of data storage, data ingestion, data quality ...

... activities and site communications. Collaborate with the project team to address issues, resolve discrepancies, and ensure trial milestones are met. Support data management activities by ensuring timely and accurate data collection and entry. Participate in audits and inspections as required, providing necessary documentation ...

• Remote
• Hybrid
• Full-time

300k - 400k

... Data Engineer will design, build, and maintain scalable data pipelines and solutions, ensuring high performance and reliability across COSMOS DB and related data platforms. Daily responsibilities include modeling and structuring data, implementing ETL processes, optimizing data storage and retrieval, and collaborating ...

Key responsibilities :Data Architecture & Platform Build :- Design and implement modern data architecture (Data Lake, Data Warehouse, Lakehouse)- Enable self-service analytics and reporting platforms- Lead implementation of BI tools and dashboards- Partner with business teams to define KPIs, metrics, and insights frameworks- ...

... solutions in Client Data Product Management . As a Data Product Manager within our dynamic team , you will be responsible for scaling the CDM(client data management) data product, strengthening operating models, and driving operational excellence through data-driven execution. Drive product development for the CDM data product ...

... hands-on experience in data science.- Strong proficiency in Python and libraries such as NumPy, pandas, scikit-learn, TensorFlow/PyTorch.- Expertise in SQL for data extraction, transformation, and analysis.- Proven experience with PySpark or distributed data processing frameworks.- Deep understanding of machine learning and ...

30k

We go beyond the obvious, using intelligence, passion and creativity to inspire new thinking and shape the world we live in. Job Title: Data Scientist We're the world's leading data, insights, and consulting company we shape the brands of tomorrow by better understanding people everywhere. We are looking for a Data Scientist ...

• Remote
• Hybrid
• On-site

... orchestration, OneLake concepts and Power BI semantic models, including Direct Lake where appropriate. - Experience with data warehouses, data lakes and Azure data services such as Azure Data Lake Storage and Azure Data Factory. - Strong knowledge of dimensional modelling, analytical structures and data-modelling trade-offs. ...

• Remote
• Hybrid
• On-site
• Contract

... coaching, performance management, career development, and team engagement. Data Architecture: Deep understanding of modern data architecture patterns including Data Lakes, Data Warehouses, Lakehouses, and Data Mesh, combined with experience designing and delivering cloud-based data platforms. Cloud and Data Engineering: Strong ...

Big Data Processing: Design and manage scalable data pipelines to process massive datasets efficiently for model training and inference. Build, train, and fine-tune complex neural networks across text, audio, and visual modalities. Cloud Deployment: Architect and deploy models to cloud environments, leveraging distributed ...