Showing 6,092 Data Engineer Jobs in Gurgaon Gurugram

Design, develop, and implement data pipelines using Azure Databricks. Collaborate with cross-functional teams to identify and prioritize project requirements. Develop and maintain ETL processes to ensure data quality and integrity. Troubleshoot and resolve issues related to data pipeline failures or

AIA-Hyderabad Job Summary The Sr Developer will design build and optimize data solutions using Databricks SQL and Databricks Workflows to support complex analytics and operational reporting in a hybrid work model. The role involves collaborating with cross functional teams in research and developmen

Required Skill Set: Data Lake architecture, Azure Services ADLS, ADF, Azure Databricks, Synapse ADF, ADB, SQL, Pyspark, python Good Knowledge of Data Brick lake house and Azure Data Lake concept • Knowledge of Data Bricks delta concept Delta live tables (DLT) • Strong hands-on experience in ELT pipe

JD for Azure Databricks. Role name: Developer Role Description: ADB/ADF, PySparkProficiency with Azure services: Azure Databricks (Unity Catalog) Azure Data Fac

Job Description ROLES AND RESPONSIBILITIES Primary Responsibilities: Develop and optimize ETL/ELT pipelines using Python, PySpark, and SQL Work with ADF, Databr

Join Arcadis as an Azure Data Engineer to drive digital transformation. Build scalable data solutions using Azure Data Platform, Microsoft Fabric, SQL, PySpark, and Power BI. Leverage DevOps for innovative, sustainable engineering solutions

Role & responsibilities Must Have - 6+ years data engineering experience - Strong programming skills in Python - Hands on experience with Big Data tech (e.g., Hadoop) and Spark - Comfort working in Agile, highly collaborative teams - Strong written and verbal communication skills Good to have - Expe

**Job Title:** Data Engineering Hadoop Developer (3-8 Years Experience) **Job Summary** Seeking a Hadoop Developer with 3-8 years of experience in big data engineering to design, build, and optimize scalable data pipelines on Hadoop ecosystem technologies. The role involves batch/stream processing,

Role & responsibilities • Design, develop, and maintain scalable batch and streaming data pipelines using Spark and Scala . • Build and optimize data processing workflows leveraging Hive for querying, transformations, and data warehousing needs. • Implement reliable ingestion and integration pattern

# Lead Data Engineer **Experience:** 58 years | **Location:** Bangalore/India | **Type:** Full-time ROLE Lead the design, build, and operations of a production-grade data platform. Own end-to-end pipelines, set engineering standards, and mentor a team of Data Engineers delivering data for analytics,