3,783 data entry work jobs in India.

... Implement efficient, distributed and scalable pipelines and integrate data from multiple sources to create data products Implement design patterns that support data ingestion, data movement, transformation, aggregation, and much more. Collaborate with Product managers, Software engineers, and Data Scientists, and work towards ...

... a final answer Curious about applying AI to structural problems: pipeline debugging, anomaly detection, metadata generation, code review support Comfortable working in an environment where AI-usage practices are still evolving, and contributes ideas to shape them Experience with data quality tooling (SODA, Collibra, or ...

• On-site

... leading the system design and implementation of technical solutions. Working with data excites you; You have created Big Data architecture, can build and operate data pipelines, and maintain data storage, all within distributed systems. You have a deep understanding of data modeling and experience with modern data engineering ...

... Bengaluru office. You will work on a broad range of cutting-edge data science and machine learning problems across a variety of industries. If you are passionate to work on complex unstructured business problems that can be solved using data science and machine learning we would like to talk to you. Function : Data Science and ...

• Remote
• Contract

... Azure Data Factory, Azure Data Lake, Microsoft Fabric, Logic Apps,Power BI, GitHub, and Data Modeling. Required Skills: - 10+ years of Software Engineering / Data Engineering experience. - Strong SQL Server and T-SQL expertise. - Strong experience working in the Azure environment. - Hands-on experience with Azure Data Factory. ...

... business faces, which can be better understood with data Compile and analyze data related to business' issues Develop clear visualizations to convey complicated data in a straightforward fashion Qualifications - Bachelor's or Master's degree in Statistics or Applied Mathematics or equivalent experience - 1 - 2 years' Data ...

... performant Use AI tooling within DE workflows, including code generation, pipeline automation, and data quality checks Contribute to and help shape company-wide data governance standards Collaborate with analytics, BI, and business teams to deliver trusted, well-modeled data 5–7 years of hands-on data engineering experience ...

... security, and scalability while enabling faster and more reliable software delivery. Key Responsibilities: - Hands on experience working on Databricks, creating data pipelines, transformation rules using Unity Catalog, PySpark, SparkSQL - Hands on Databricks Devs – Deployments, CICD, Performance Management - Hands on Databricks ...

• Hybrid

20k

... end-to-end data platform implementations encompassing data ingestion, transformation, storage, processing, governance, and consumption. Architect batch and real-time data pipelines leveraging modern big data frameworks and cloud-native services. Provide technical leadership and hands-on guidance to engineering teams, ensuring solution ...

... Engineer will own the end-to-end operationalisation of machine learning, large language model (LLM), and agentic AI workloads on the Bajaj Finance Enterprise Data Platform — a 5PB+ medallion lakehouse built on Azure Databricks and Unity Catalog. This role sits at the intersection of data engineering, model lifecycle management, ...

• Full-time

... for a data professional to join our Data Engineering team. Independently execute data engineering projects Undertake processing of structured and unstructured data Development of data processing codes for automation & building scalable solutions Develop and maintain data solutions for clients / projects Communicate and interact ...

... new technologies and approaches to innovate with increasingly large data sets. Drive automation and efficiency in Data ingestion, data movement and data access workflows by innovation and collaboration. Understand, implement and enforce Software development standards and engineering principles in the Big Data space. Work ...

... Proficiency in Python or Java for data processing, automation, and pipeline development. ETL & Data Integration: Designing and implementing end-to-end ETL/ELT workflows for structured and unstructured data. Database Management: Strong command of SQL; working knowledge of NoSQL databases like MongoDB or Firestore. Version ...

... https://jobeax.com/link/fYGlpInxuIv5PeS1 & Skills :- 4 - 7 years in data engineering: SQL, Python, ETL/ELT orchestration.- Cloud data platform experience (Azure preferred): pipelines, storage, APIs.- Strong understanding of data lake and data architecture.- Data modelling for analytics (star schema) and data quality frameworks. (ref:hirist.tech)

... Acceptance Testing (UAT).Required Skills & Experience : - 4 - 10 years of experience in Workday HCM implementations and support.- Strong hands-on experience with Workday Time Tracking and Workday Absence https://jobeax.com/link/BL8INKYTRqLHzKy9 Experience : - Time Entry Codes, Time Calculation Rules, Work Schedules, Shift Configurations, ...

... opportunities to support the bank's strategic direction while building your network across the bank We're offering this role at associate level What you'll do As a Data Engineer, you'll play a key role in driving value for our customers by building data solutions. You'll be carrying out data engineering tasks to build, maintain, ...

• Hybrid

₹5 INR

... Strong — pandas, pyarrow, JSONL processing at scale - ML Data Libraries: HuggingFace Datasets, Arrow-based storage - Data Formats: Multi-turn conversation/chat data structures and tokenizer-specific formatting - Deduplication: Content hashing, identity-based grouping strategies - AWS: S3, EC2, batch processing workflows Preferred ...

• Hybrid

... a multi-layer multi-objective problem space which has a unique impact on Global consumer base and powers assisted AI for our associates. The team consists of data scientists, application engineers, big data geeks and product visionaries all working together to design, prototype and build technology-driven products and experiences ...

... agenda Optimizing and integrating different data sets to enable the undertaking of advanced analytics to identify growth opportunities. Responsibilities As the data scientist, this individual will be responsible for development and deployment of data science modeling frameworks using Statistical modeling (Machine Learning ...

... agenda Optimizing and integrating different data sets to enable the undertaking of advanced analytics to identify growth opportunities. Responsibilities As the data scientist, this individual will be responsible for development and deployment of data science modeling frameworks using Statistical modeling (Machine Learning ...