1,910 tally data entry jobs in India.

... 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.

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 ...

... Solid understanding of data modeling, business intelligence, and analytics best practices. - Strong problem-solving skills and ability to communicate complex data insights clearly to non-technical stakeholders. Preferred Skills: Experience in healthcare analytics or healthcare data systems. Knowledge of cloud data platforms ...

... ecosystem. - Experience in migrating data structured, unstructured data to Data lake - Experience or understanding of performance engineering both at system level and database level. - Experience or understanding of Data Governance, Data Quality, Data Issue Management. - Work closely with the implementation teams of the various ...

... Global Capital, CoinFund, Gumi Cryptos) and crypto projects (Aave and Kyber Network). Support our analytics team by owning the full ETL lifecycle—from master data to analytics-ready datasets. You will build and maintain daily batch pipelines that process 1-10 million master-data rows per run (and scale up to tens or hundreds ...

... drive the approach with which we use data, develop backend systems and data models to serve the needs of insights and play an active role in building Atlassian's data-driven culture. Own the technical evolution of the data engineering capabilities and be responsible for ensuring solutions are being delivered incrementally, ...

... reliability of 2K’s data ecosystem. This role applies DevOps principles to data engineering, managing CI/CD for data assets, Infrastructure-as-Code (IaC), and advanced data observability. focuses on complex problem-solving, optimizing cross-functional data flows, and ensuring that data infrastructure is scalable, secure, and highly ...

... like Data Lakes and SQL DW to build robust data solutions. Write SQL, Python, and PySpark code for efficient data processing and transformation. experience in data ingestion, data processing, and analytical pipelines for big data and relational databases. Hands-on experience with Azure services: ADLS, Azure Databricks, Data ...

About Hevo: Hevo () is a simple, intuitive, and powerful No-code Data Pipeline platform that enables companies to consolidate data from multiple software for faster analytics. Hevo powers data analytics for 2000+ data-driven companies across multiple industry verticals, including https://jobeax.com/link/nc8T843D2pw1cDRT, ...

... events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested ...

... Skills - 3–6 years of experience in data analysis, business process analysis, task mining or process mining. - Strong proficiency in SQL and Python/Pandas for data transformation and analysis (Pandas, NumPy, regex, data manipulation). - Ability to handle large data sets and work with structured and semi-structured event ...

... Mattel’s enterprise data strategy. Lead the development of scalable, secure, and high-performing data integration pipelines for structured and semi-structured data using Google BigQuery. Design and develop scalable data integration pipelines to ingest structured and semi-structured data from enterprise systems (e.g., ERP, ...

... business logic, and data transformations across large-scale systems.- Proficiency in Python and SQL, including working with terabyte-scale datasets to identify data anomalies and logic issues.- Strong understanding of data quality automation frameworks, CI/CD pipelines, and tools like Airflow, Spark, Databricks, or Snowflake.- ...

... Oversee AWS-based data infrastructure (S3, Redshift, Glue, EMR), ensuring reliability and performance at scale. Mentor and guide teams on advanced system design, data observability, and best practices. Drive DataOps initiatives, focusing on data quality, lineage, and governance. Lead the integration of ML platforms like SageMaker ...

AI + Data Engineer — Fully Remote Bhalekar Consulting · Applied AI & Data Engineering · Official Anthropic & Databricks Partner We're an applied-AI and data consultancy delivering production-grade AI and data platforms for clients across financial services, retail, supply chain, and the public sector. As an official Anthropic ...

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. Must have skills : AWS Glue ...

... supporting the transformation of data into a structured format that can be easily analyzed in a query or report. This role is responsible for developing structured data sets that can be reused or compliment other data sets and reports. This role analyzes the data sources and data structure and designs and develops data models ...

... - Experience in legacy data technologies such as SQL Server, Oracle, traditional ETL tools, or Data Warehouse platforms. - Experience in ETL/ELT development, data ingestion, transformation, and data pipeline implementation. - Good understanding of Data Warehousing, Data Modeling, and dimensional concepts. - Ability to migrate ...