2,152 offline data entry jobs in India.

... Global Founder’s Capital and the likes of Kunal Shah, Amrish Rao as angel investors. About the role:- We are looking for a Data Engineer II (SDE-2) to join our data team. The ideal candidate will be a play a key role to develop of high performant and scalable Data Lake-house , moving us toward a world of sub-minute data latency ...

... Python, SQL, and ML libraries (Pandas, Scikit-learn, TensorFlow, PyTorch).- Proven expertise in deploying ML models into production systems.- Experience with big data platforms (Hadoop, Spark) and distributed data processing.- Hands-on experience with Databricks, Airflow, and AWS EMR.- Strong knowledge of AWS cloud services ...

Role: Data Engineer - Power BI Modelling Level: 7-15 years Build and maintain Power BI semantic models (DAX, star schemas) for enterprise reporting. Develop PySpark/Python and SQL pipelines feeding the Snowflake environment. Translate reporting requirements into performant data models. Ensure data quality. Validate accuracy ...

... for structured and unstructured data. Integrate data from multiple internal and external sources into centralized systems. Build scalable batch and real-time data processing workflows. Data Infrastructure & Architecture: Develop and maintain data lake, data warehouse, or data mesh architectures. Ensure high availability, ...

... veteran status, etc., We consider all applications based on merit and suitability to the role.” Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website. ***Issued By HSBC Electronic Data Processing (India) Private LTD***

... written and verbal communication skills in English. Experience with cloud technologies and distributed systems. Experience with data transformation frameworks and data pipeline orchestration tools. Experience managing large volumes of data and optimizing data processing. Understanding of event-based architecture, data streaming, ...

... In this regards, the LIQ PBR data analyst will work with Liquidity SMEs to document BDEs that require to be traced from upstream sources, liaise with upstream data source RTB teams to develop a data flow architecture for the movement of data, further request sample transactional and other data to test the data per test cases ...

We are looking for a Senior Data Engineer with strong expertise in Azure Databricks, PySpark, and distributed computing to develop and optimize scalable ETL pipelines for manufacturing analytics. The role involves working with high-frequency industrial data to enable real-time and batch data processing. Perform data pre-processing, ...

... or Azure in microservices architectures.- Thrives in fast-moving startup environments with high ownership and ambiguity.- Strong Python skills with focus in data engineering and data analysis, including proficiency with data mining algorithms such as Scikit-Learn, NumPy, SciPy and Pandas.- Strong understanding of machine ...

... scalable data systems that support next-generation products and analytics initiative. As a Senior Database Engineer, you will directly contribute to the company's data platform, database infrastructure, and analytics capabilities. By designing and maintaining scalable data pipelines and database solutions, you enable the organization ...

The High-Performance Computing Storage Engineer is primarily responsible for the overall health and maintenance of storage technologies in our managed services customer's environments.

Role: We're looking for a seasoned Data Engineer to join our Engineering organization and take ownership of the systems that power our data-driven decisions. You'll architect and maintain high-performance data pipelines and databases across platforms like MSSQL, Redshift, and Snowflake—ensuring data is reliable, accessible, ...

... of CI/CD tools. Govern end-to-end data architecture with a focus on data quality, security, compliance, and lifecycle management. Build efficient and scalable data models ensuring optimal query performance and responsiveness. Ensure seamless data flow across ingestion layers, data models, and visualization outputs. Conduct ...

prefr (operated by creditvidya) is a digital-first lending platform that makes credit accessible to millions across India. With loan offerings ranging from ₹50,000 to ₹5 Lakh, we’re enabling instant personal loans and flexible pay-later credit lines, especially for first-time borrowers and underserved regions.

... Business, Finance, Data Analytics, or related field.- 5 - 8 years of experience in data management, data governance, data quality, MDM, platform configuration, or data testing roles.- Financial services industry experience preferred.- Demonstrated hands-on experience configuring data models, data quality rules, or governance ...

Tesco India • Bengaluru, Karnataka, India • Hybrid • Full-Time • Permanent • Working hours 45• Apply by 08-Sep-2026

... remain hands-on with Data Engineering, particularly with Databricks, Spark/PySpark, Python, SQL, AWS, data pipelines, and modern data platforms.- The existing Data Engineering team is currently not in place for this initiative. The selected candidate will therefore have an opportunity to help build the Data Engineering team ...

... automated testing).- Exposure to Agile/Scrum methodologies.- GCP Professional Data Analyst or Data Engineer certification.- Tableau Desktop Specialist / Certified Data Analyst certification.- Experience in media, broadcasting, healthcare, or other data-intensive domains.- Understanding of data governance frameworks and data ...

... for a high growth open-end and closed end real estate product line. - Liaison between fund administrators and US based parent company to facilitate efficient data transfer to CP US systems. - Support Investor and consultant data needs by updating databases containing performance and operations data for our product line. ...

... Compliance, and Management teams with reporting and data analysis requirements. - Validate data quality and investigate issues related to mismatched numbers, missing data, or incorrect calculations. - Work with data engineering or database teams to understand data sources and improve reporting reliability. - Optimize Power BI reports ...