2,041 data operator jobs in India.

... generative AI and LLM-based solutions using enterprise business data, knowledge graphs, business process intelligence, and other structured and unstructured data assets. - Leverage SAP's deep data and process context including SAP data models, metadata structures, and business process semantics across Order-to-Cash, Procure-to-Pay, ...

Data Scientist – Snowflake + Agentic AI / Cortex AI

... compliance. Database & Data Platform Support - Support Oracle databases and enterprise SQL environments. - Perform performance analysis, query optimization, database monitoring, and troubleshooting. - Coordinate with application and data engineering teams during releases and migrations. Middleware & File Transfer Services ...

... evidence collection, and continuous-monitoring cadence (partnering with the InfoSec Engineer on the technical controls). Data protection & DPO Act as the company's Data Protection Officer across GDPR (UK/EU) and India's DPDP Act, including registration obligations. Own RoPA, DPIAs, data-subject-request handling, breach response ...

... and data profiling findings to both technical and leadership https://jobeax.com/link/qD1PXku8V3HtzrrZ :- Experience: 5+ years in data engineering, with deep data warehousing exposure at scale.- SQL and BigQuery: Expert-level SQL; hands-on BigQuery optimization (partitioning, clustering, slots, cost).- Data Modelling: Programming: ...

... analysis.- Develop data engineering solutions using Python.- Optimize ETL processes for performance, scalability, and reliability.- Monitor and troubleshoot data pipelines and resolve data quality issues.- Implement best practices for data modeling, database design, and data governance.- Collaborate with data scientists, ...

... HudiData Integration & Streaming:- Apache Kafka, Apache Flink, Apache Airflow, Azure Data Factory, AWS Glue, Stream Processing FrameworksCloud Platforms:- Azure (Data Factory, Synapse, Data Lake, Fabric, Databricks), AWS (S3, Glue, EMR, Redshift, Kinesis, Lambda), GCP (BigQuery, Dataflow, Dataproc, Pub/Sub)Databases:- PostgreSQL, ...

Responsibilities : - Development and enhancement of Data Security Products (SASE)- Participate in a complete development life cycle starting with understanding various functional requirements, refine functional specification and develop for high throughput/ low latency requirements.- Influencing the features and direction ...

... event-driven https://jobeax.com/link/jBkpG9kV7nuVLE8C ideal candidate must possess end-to-end Power BI capabilities, moving beyond standard visual creation to robust data modeling, advanced DAX, and full-stack troubleshooting to translate complex operator data into actionable business https://jobeax.com/link/0Iq6UajWsxXJkcHq : ...

... Partner with business stakeholders, product managers, and engineering teams to understand business use cases and constraints.- Design and document end-to-end data, aligned with enterprise standards for :1. Data mesh and domain-oriented data products2. DataOps, MLOps, and emerging AgentOps practices3. AI-aligned data patterns ...

... data processing solutions using frameworks such as Apache Beam (Data Flow) and Kafka. Work with GCP services like BigQuery, Dataflow, and Spanner to optimize data pipelines and workflows. Design and model data structures for efficient data storage and retrieval. Oversee ETL processes to ensure seamless data extraction, ...

... https://jobeax.com/link/0a2QmNkVhUZFALjk Candidate will have :- Experience with Agentic AI, Generative AI, LLMs, and prompt engineering.- Experience with big data technology stack (Hadoop, Spark, HDFS, EMR, Glue).- Experience with AWS, Azure or GCP.- Experience with Databricks/SageMaker/DataRobot, MLFlow or other ML and ...

... and forecasting solutions. Perform data cleaning, preprocessing, and feature engineering. Build and optimize data pipelines using Python and SQL. Analyze large datasets to identify trends and business insights. Support model deployment, testing, and performance monitoring. Create dashboards, reports, and data visualizations. ...

... daysMandatory Skills : - Python- PySpark- SQL- Oracle EBS- Databricks / Azure Data Factory (ADF)Key Responsibilities : - Design and develop scalable data pipelines using Databricks and PySpark.- Develop and optimize complex SQL queries and data processing workflows.- Work with Oracle EBS data structures and support data integration ...

... end-to-end scheduled and event-driven data workflows using AWS Step Functions and AWS Glue Workflows.4. Data Warehousing & Operational Databases : - Enterprise Data Warehousing : Own the architecture, data modeling, and performance tuning in Snowflake to support downstream BI, connected-fleet dashboards, and data science ...

... and translate them into technical data solutions. Ensure data integrity, security, and governance across multiple data sources. Optimize query performance and database architecture for efficiency and scalability. Lead troubleshooting and debugging efforts for data-related issues. Document data workflows, architectures, and ...

... troubleshooting with IT/security teams. Required Skills and Experience Foundational experience in data engineering, data pipelines, ETL/ELT, data transformation, or cloud data platforms. Working knowledge of SQL and Python exposure to Spark, notebooks, or distributed data processing is preferred. Basic understanding of data modeling, ...

... migrations to Databricks from Hadoop ecosystems, Data Warehouses (Teradata, DataStage, Netezza, Ab Initio), ETL engines (Informatica), SAS, SQL, DW, Cloud-based Data platforms like Redshift, Snowflake, EMR, etc.5. Design, Build and Optimize Data Pipelines : - The Databricks implementation will be best in class, with flexibility ...

... implementing the chosen data model using the appropriate technology stack. - You will collaborate with the team on the areas of data governance, data security and data privacy. - You will incorporate data quality into your day-to-day work. Job qualifications Technical Skills - You will have 5+ years of experience in Data engineering. ...

... 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, ...