Role: Data Engineer Experience: 4 to 12 Years Location: PAN India Must Have Skills - Strong 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
Valuable 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
Solid 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 Bengaluru
🏢 Tata Consultancy Services
📍 Bengaluru