1,937 online data entry jobs in India.

... tools. Data Modeling & Architecture: Skilled in dimensional and semantic modeling, database design, and building performant, governed analytics-ready structures. Data Quality, Metadata & Curation: Capable of cleansing, transforming, and validating data; familiar with lineage, cataloging, and data quality frameworks. Experience ...

Role Overview Application Senior Data (Platform) Engineer Location: Hyderabad | Department: Technology, Data About The Role Are you passionate about building reliable, scalable data platforms that make analytics and AI development easier As a Senior Data Platform Engineer, you will be hands-on in building, operating, and ...

... build high throughput services Designing and implementing code in SQL/Python Good understanding and implementation experience in Data Governance, Data Quality, Data Modelling etc. Ensure projects are delivered on time and to the satisfaction of the stakeholder Experience required - 7+ years of experience as a data engineer/similar ...

Position: Senior Data Analyst (Tariff Data)Overall/Total Experience: 4-7 years onlyLocation: Pune (Only for Candidates living in Pune, Mumbai, Nagpur)Working Days: 5 Days Working from OfficeNotice Period Requirement: 30 Days (Maximum)Client's Company Size: Mid-SizedRoles and responsibilities:- Understands complex utility ...

... work closely with both Blend’s internal teams and client stakeholders to build and optimize data pipelines, support data modeling efforts, and ensure reliable data flows for analytics, reporting, and business decision-making. This position is ideal for engineers with a strong data foundation who are looking to apply their ...

... etc Design & develop data management and data persistence solutions for application use cases leveraging relational, non-relational databases and enhancing our data processing capabilities. Experience handling un-structured data, working in a data lake environment, leveraging data streaming and developing data pipelines driven ...

... cases, rather than one-off pipelines. The role also operates within an evolving ecosystem where contract-driven data approaches are increasingly used to define datasets, structure, quality expectations, and access patterns. While direct experience with data contracts is not required, exposure to structured data governance, ...

... Azure Data Factory (ADF) solutions, leveraging knowledge of Databricks . Design, develop, and maintain data pipelines. Work on data ingestion frameworks and data transformation frameworks . Utilize expertise in the Azure platform, Big Data, and Cloud technologies . Implement and manage data solutions using Snowflake . ...

Data Engineer – Databricks Experience: 7+ Years Work Mode: Remote Shift Timing: 12:30 PM to 9:30 PM IST ~ Databricks, Pyspark, Python, SQL, Microsoft Fabric, Azure Data Factory, DataOps practices, and performance optimization We are looking for experienced Data Engineers with strong hands-on expertise in Databricks, PySpark, ...

... implementation, deployment, and operation. Experience designing large-scale data platforms, data warehouses, or distributed data systems. Deep understanding of database architecture, data modeling, query optimization, indexing, partitioning, and storage systems. Experience with cloud data infrastructure and databases, including ...

... experience in the Big Data Ecosystem. Design, implement, and optimize highly performant data pipelines using Spark, Scala/Java, and Hive on platforms like Cloudera Data Platform (CDP) or other Hadoop echo systems. Take complete ownership of complex data engineering projects within the big data ecosystem, covering the entire lifecycle ...

... data tools: . Data ingestion: to ingest the data from a data source . Data processing: to process, transform and distribute the data to the target location . Data exposition : to distribute and expose the data hosted in the data platform . Data cleaning: to purge the data on the Lake in a secure way . Data tools: data formatter, ...

... data and/or other sources of data e.g. Visa data, third party etc. Continually look at the environment to challenge various assumptions around new sources of data, tools, talent, and infrastructure. Actively seek out opportunities to innovate by using VisaNet, non-traditional data and new modelling techniques fit for purpose ...

... financial domains (Payments, FX, Accounts) - Experience in data product-oriented delivery approaches - AI-assisted data product development experience Data & AI - Data Engineering - Data Quality & Validation Big Data - Big Data - Pyspark Data & AI - MLOPS - Python Database - Database Programming - SQL Data & AI - Data Engineering ...

... attention to observational data quality and geospatial consistency. You will work closely with machine learning and software engineers on three core threads: 1. Data assimilation: contribute hands-on to data assimilation for weather forecasting models. 2. ML-ready datasets: procure, process, and create ML-ready global and ...

... maturity Bachelor's degree in Data Science, Computer Science, Information Systems, Data Analytics, or a related field, OR equivalent professional experience in data management, data governance, or a related field - 10+ years of experience in data management, data governance, risk management / analytics, or a related field, ...

... could set you apart: Knowledge of credit bureau data. Experience or advanced degree with focus on Entity Resolution concepts, prototype or hand-on project. Graph database, AI/ML tools usage to solve large scale business problems. Experience in Data Visualization and storytelling. Engage and collaborate with teams to identify ...

... working with data and data systems and play a critical role in building finance data sources and frameworks, ensuring the scalability and reliability of our data Shift time: 5.00 PM - 2.00 AM Own,build, and maintain scalable data pipelines that connect various cloud data sources. Design, build, and manage reliable data ...

... deployment and support. Adept at working in Agile environments and collaborating with cross-functional teams. Brings strong expertise in cloud platforms, big data technologies, and data integration tools, with a keen interest in the healthcare domain and emerging AI accelerators. Role: Senior Data Engineer Location: All ...

... Kubernetes architecture and Docker best practices for production workloads. Programming & Data: Expert proficiency in SQL and Python is required for complex data manipulation and SDK integration. Streaming & Scalability: Experience handling large-scale, real-time datasets. Familiarity with Apache Flink and event-driven ...