"Azure PySpark Data Engineer" Jobs in India

Azure PySpark Data Engineer

Tata Consultancy Services · Visakhapatnam

Develop and maintain ETL pipelines using PySpark / Spark SQL in Azure Databricks . Process and transform large-scale financial data for various business and compliance applications. Implement data pipelines ensuring data

Principal Azure Data Engineer (12 to 15 yrs) (Python / PySpark / SQL/ DataBricks) - Remote India

Nexaminds ·

Unlock Your Future with Nexaminds! At Nexaminds, we're on a mission to redefine industries with AI. We're passionate about the limitless potential of artificial intelligence to transform businesses, streamline processes

Azure Data Engineer with Pyspark

Tata Consultancy Services · Chennai

Job Description - Build and optimize data models in Azure Synapse / Azure SQL / Delta Lake. Manage Azure storage solutions such as ADLS Gen2, Blob Storage. Work closely with data architects, analysts, and business teams

azure data engineer ( pyspark + Python) SQL

Tata Consultancy Services · Hyderabad

Developing/design solution from detail design specification. Playing an active role in defining standard in coding, system design and architecture. Revise, refactor, update and debug code. Customer interaction. Must have

Azure Data Engineer, Pyspark

Tata Consultancy Services · Bengaluru

Strong experience in Azure Data Factory , ADB( Azure Databricks) Synapse, pyspark; establishing the cloud connectivity between different system like ADLS, ADF, Synapse, Databricks etc. · A minimum of 5 years' experience

Must Needed Skills: Apache Airflow, Python, PySpark, Hive(Trino), SQL and Snowflake Develop and maintain data pipelines, ELT processes, and workflow orchestration using Apache Airflow, Python, PySpark, Hive(Trino) and Sn

Data Engineer - GCH

Zensar ·

Data Engineer: Core Skills and Knowledge: - 5-8 years of experience in data engineering. - Hands-on experience with Databricks (Delta Lake, notebooks, Databricks Workflows). - Strong programming skills in Python and SQL.

Must Needed Skills: Apache Airflow, Python, PySpark, Hive(Trino), SQL and Snowflake Develop and maintain data pipelines, ELT processes, and workflow orchestration using Apache Airflow, Python, PySpark, Hive(Trino) and Sn

Senior Engineer (India Office)

Wesco · Bengaluru

Data professional with experience in building and validating end-to-end data pipelines across Azure Data Factory, Databricks, and ADLS. Skilled in data quality assurance, automation using Python and PySpark, and integrat

Engineer (India Office)

Wesco · Bengaluru

Data professional with experience in building and validating end-to-end data pipelines across Azure Data Factory, Databricks, and ADLS. Skilled in data quality assurance, automation using Python and PySpark, and integrat

Lead Data Engineer (Databricks, PySpark & GCP)

Egen · Hyderabad

Job Overview: We are looking for a skilled and motivated Lead Data Engineer with strong experience in Python programming, PySpark, Databricks and Google Cloud Platform (GCP) to join our data engineering team. The ideal c

Pyspark Data Engineer

Tata Consultancy Services · Bengaluru

Job Description About the Unit : TCS Data & Analytics is powering the AI revolution by transforming data into a strategic enterprise asset. Built on the philosophy of Smart Data for Smarter AI , it enables organisation

Data engineer- Python, PySpark, AWS

Tata Consultancy Services · Hyderabad

Role: Data engineer- Python, PySpark, AWS Experience: 6-8 years Location: Hyderabad Primary skill: Total Experience > 8 Years with 7 Years of relevant Experience Should have working experience: Development: Python,

Software Engineer ( Python + PySpark + Agentic AI ) - 5 + Years

Infor · Hyderabad

A Typical Day in the Life Includes: Basic Qualifications: These are the core skills we screen for. A strong candidate has all three. Python 3 — solid experience writing production code, with strong fundamentals and read

Key Responsibilities Design and develop LLM-powered applications using agentic patterns (single/multi-agent) for business use cases Build and optimise end-to-end RAG pipelines (ingestion, embeddings, retrieval, orchestra