1,845 data labelling jobs in India.

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 ...

... 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 ...

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.

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 ...

... improve team's data architecture, making it better and easier to maintain (e.g., data auditing solutions, automating, ad-hoc or manual operation steps) Owns the data quality of important datasets and any new changes/enhancements 1+ years of data engineering experience - Experience with data modeling, warehousing and building ...

Data Scientist – AI/ML & Identity Management Location: Hyderabad, India Experience: 7–15 years Employment Type: Full-time, Work from Office Role Overview We are looking for a Data Scientist with hands-on Python coding skills to develop and deploy AI/ML solutions for identity management. The role involves working with real-world ...

... & Modern Data Engineering - AWS / Azure / GCP - Python / PySpark / SQL - Snowflake / Databricks / Spark / BigQuery / Synapse - Kafka / Kinesis / Event Hub / Dataflow - Apache Airflow / Astronomer - Data Modeling, Quality & Reliability - Data Governance & Metadata Management - CI/CD & DataOps - Data Platform Engineering ...

... global business forward while being part of a dynamic, cross-continental data community. In this role, you will be a key member of the Supply Chain & Planning Data Domain team. You will get an opportunity to work on a cloud native and modern data platform, building data pipelines to building data models and transformations ...

... Azure Databricks : - Databricks SQL- Data processing and transformation- Experience developing and maintaining Databricks notebooks- Understanding of Spark-based data processing3. Azure Data Platform : - Azure Data Lake- Experience working within Azure data ecosystems- Understanding of cloud-based data architectures4. Data ...

... parallelism and batch data processing - 5+ years of SQL experience - complex joins, window functions, aggregations across large datasets - Experience with Oracle Data Pump (expdp/impdp) or SQL Server BCP / BULK INSERT for high-volume data movement Experience with SQLAlchemy, cx_Oracle, or pyodbc for Python-based database connectivity ...

... ability to design and fine-tune Deep Learning architectures and NLP models to solve real-world language processing challenges.- Strong proficiency in SQL and Big Data technologies, with the ability to manage and query large-scale databases to support data-intensive applications.- Exceptional communication skills, with the ability ...

... support Data Warehouse (DWH) solutions and data integration processes. Develop and maintain dashboards and reports to support business insights. Work with Oracle databases and Oracle NetSuite data for reporting and integrations. Perform data modelling, database design, and schema optimization. Ensure data quality, integrity, ...

Kroll is hiring a Senior Data Scientist to join its Enterprise Data Group. This role is designed for an experienced practitioner who can lead end-to-end ML initiatives, mentor junior team members, and partner with business and engineering stakeholders to translate complex problems into production-grade data science solutions. ...

... develop, and maintain scalable data engineering and enterprise data warehouse solutions.- Develop complex SQL and PL/SQL queries, stored procedures, functions, and data processing workflows.- Perform query and database performance tuning for large-scale data workloads.- Develop and maintain data ingestion, transformation, reconciliation, ...

... business growth. Data storytelling to communicate complicated data solutions to non-technical stakeholders Able to share recommendations on project specific data usage Brainstorm & identify data gaps and data opportunities. Build full-proof solutions for insights which can be easily deployed New Data/API explorations and ...