2,729 data entry projects jobs in India.

... from large, complex datasets. You will collaborate with data architects, analysts, and business stakeholders to deliver scalable, secure, and high-performance data https://jobeax.com/link/XnflZD2dGSZYgXFG Responsibilities :- Design and develop end-to-end data pipelines using Microsoft Fabric (Data Factory, Dataflows Gen2, ...

... ETL Tool ONLY amongst Talend Datastage Informatica ISS Cloud version Data Fusion Data Flow Data Proc Mandatory SQL PLSQL Scripting Experience Expert in Python Data Flow Pubsub Big Query CICD Must have good Experienceknowledge on GCP components like GCS BigQuery AirFlow Cloud SQL PubSubKafka DataFlow and Google Cloud SDK ...

... Monthly, Weekly, and Daily Plans in coordination with the sales team. Publish Management Information System (MIS) reports on Plan vs. Actual performance. CRM Data Management Ensure accurate and complete data entry for customers and projects in the CRM. Conduct regular CRM audits to identify and rectify discrepancies. Monitoring ...

• On-site
• Full-time

... As part of our expanding GenAI & Data Engineering initiatives, we're looking for a Data Engineer to join our team in Pune and work on enterprise-scale GenAI projects, including clients in regulated industries (Pharma, Life Sciences, Banking). Design, build, and maintain scalable data pipelines supporting AI and GenAI use ...

• Remote
• Hybrid
• On-site

$30 USD

... & Cloud Data Platforms • Data Architecture & Modelling • Collaboration & Best Practices • Quality & Governance Business Relationships • Solution Architects • Data Engineers, Developers, and Analysts • Client stakeholders up to Head of Data Engineering, Data Architect, and BI leadership levels Competencies / Critical Skills ...

... characteristics. - Strong ability to independently drive projects from technical design through 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, ...

• Hybrid
• On-site

... processes in 1-2 domains (e.g., Financial, Telecom, Retail) is essential to quickly understand requirements and develop solutions. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable. Responsibilities: - Lead the development and implementation of Generative AI and LLM projects, ensuring ...

• Full-time

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 : Amazon Web ...

... Experience : +6yrs About the Role We are looking for an experienced GCP Data Engineer to design, develop, and optimize scalable data pipelines and cloud-based data solutions on Google Cloud Platform. The ideal candidate should have strong hands-on experience in GCP Data Engineering, BigQuery, Dataflow, Dataproc, Python/PySpark, ...

3k

... designing and building scalable data platforms, data warehouses, and lakehouse architectures. - Deep expertise in data modeling, including dimensional modeling, Data Vault, and enterprise data architecture principles. - Advanced SQL skills with experience in query optimization, performance tuning, and large-scale data processing. ...

... best https://jobeax.com/link/6wXuMF1RDT966PMt Skills :- Languages : Python, PySpark, SQL (advanced).- Azure / Fabric : Microsoft Fabric (preferred) OR Azure Data Factory, Synapse, Data Lake.- Data Architecture : Lakehouse, Medallion Architecture, Batch + streaming data processing.- Data Handling : JSON, Parquet, CSV, API ...

$6.4 USD

... lifecycle and eventually revolutionizes the world of investing. As a hands-on Data Engineer at Clearwater Analytics (CWAN), you will turn business and platform data into actionable insights that drive decision making. You will use Python and SQL to extract, clean, and analyze data, and contribute to building the data pipelines ...

₺4 TRY

... succession planning, and performance management- 4c. Establish data science governance, standards, and best practices5. Data Governance & Platforms : - 5a. Establish data governance, quality, and security frameworks- 5b. Partner with IT to build scalable data platforms (cloud, IoT, data lake)- 5c. Ensure compliance with data privacy ...

... Collaborate with stakeholders and engineering teams- Communicate analytical insights to non-technical audiencesRequired Skills :- 6 - 10 years of experience in data science / optimization- Strong experience in Python and Gurobi- Hands-on experience with linear optimization- Experience working with large datasets- Familiarity ...

• Remote
• Hybrid

... COA. - 7+ years of experience in industrial projects in the domain of: - Advance manufacturing of Chemical, fine chemicals, specialty chemicals industrial projects - New energy businesses like EV, PV, and associates industrial projects. - Automotive industries, pharmaceutical plants, FMCG projects - Data Centre projects ...

... Data Platform & Orchestration is seeking a Lead Data Engineer to design and build next-generation, cloud-native data platforms supporting Mastercard's global data ecosystem. In this role, you will lead the development of scalable batch and real-time data pipelines, enabling efficient data processing across Data Lakes and ...

• Remote

... senior leader in the data engineering team, you will set the standards for best practices and will be a mentor to other data engineers. Define and lead enterprise data architecture strategy with strong focus on Azure-based modern data platforms and Lakehouse architecture. Architect, design, and optimize scalable Data Warehouse ...

... time, detect data or concept drift, and provide timely, actionable feedback for retraining or recalibration as needed. - analyze and interpret large, complex datasets from distributed databases to generate and provide valuable actionable insights to stakeholders using big data technologies like scala-spark/pyspark. - drive ...

... technology company - Experience in defining and creating benchmarks for assessing GenAI model performance - Experience working on multi-team, cross-disciplinary projects - Experience applying quantitative analysis to solve business problems and making data-driven business decisions - Experience effectively communicating complex ...

... to have) Version control: Git / GitHub Cloud exposure: AWS, Azure, or GCP Data platforms: Snowflake / BigQuery / Redshift (preferred) Understanding of ETL and data pipelines Business & Domain Exposure: Ability to convert business problems into data-driven solutions Experience working with large, real-world datasets Strong ...