Role: Data Engineer Experience: 4 to 12 Years Location: PAN India Must Have Skills Robust experience in Python, SQL, and Spark Hands-on experience with ETL/ELT pipeline development Expertise in Data Modeling, Data Warehousing, and Data Lakes Experience with Cloud Platforms (AWS/Azure/GCP) Proficiency in Databricks, Hadoop, or Snowflake Strong knowledge of Apache Spark, Kafka, Airflow, or similar data tools Experience in building scalable and high-performance data pipelines Good understanding of CI/CD, Git, and Agile methodologies Responsibilities Design, develop, and maintain scalable data pipelines. Build and optimize data ingestion, transformation, and processing frameworks. Develop data solutions for analytics, reporting, and machine learning use cases.



Ensure data quality, governance, security, and performance optimization. Collaborate with cross-functional teams to deliver end-to-end data solutions. Preferred Cloud certifications (AWS/Azure/GCP) Experience with real-time data processing and streaming technologies Strong communication and stakeholder management skills Mandatory Education: 15 Years Full-Time Education. Provide your feedback on BizChat Show sample JD for senior roleCustomize JD for healthcare sectorTailor JD for financial services

📌 Data Engineer (Karnataka)
🏢 Tata Consultancy Services
📍 Karnataka