Data Engineer

Data Engineer | 6+ Years | Bangalore | Weekend Walk-in Drive | 26-Sep-2026

Company: TCS
Location: Bangalore
Experience: 6+ Years
Interview Mode: Weekend Walk-in Drive
Walk-in Date: 26-Sep-2026

Job Description

We are looking for experienced Data Engineers to join our Data & Analytics practice. The ideal candidate should have expertise in designing and developing scalable data pipelines, ETL/ELT processes, cloud-based data platforms, and big data technologies.

The role requires hands-on experience in data engineering frameworks, data warehousing, and modern cloud ecosystems to support enterprise analytics and business intelligence initiatives.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines.
• Build and optimize ETL/ELT workflows for large-scale data processing.
• Develop and maintain data warehouses, data marts, and lakehouse solutions.
• Integrate structured and unstructured data from multiple sources.
• Perform data modeling, data transformation, and performance tuning.
• Ensure data quality, governance, security, and compliance standards.
• Collaborate with business stakeholders, architects, and analytics teams.
• Troubleshoot production issues and optimize data processing jobs.
• Implement CI/CD and DevOps practices for data engineering solutions.

Required Skills

• Python
• SQL
• ETL/ELT Development
• Data Warehousing
• Apache Spark / PySpark
• Data Modeling
• Hadoop Ecosystem
• Airflow
• Cloud Platforms (Azure / AWS / GCP)
• Git
• CI/CD

Preferred Skills

• Azure Data Factory
• Azure Databricks
• Azure Synapse Analytics
• Snowflake
• Kafka
• Delta Lake
• Power BI
• Data Governance Tools

Qualifications

• Bachelor's or Master's Degree in Computer Science, IT, Engineering, or related field.
• Strong understanding of Big Data and Cloud Data Engineering concepts.
• Experience working in Agile development environments.

Naukri Key Skills

Data Engineer, Python, SQL, ETL, ELT, Spark, PySpark, Hadoop, Azure Data Factory, Azure Databricks, Azure Synapse, AWS, GCP, Snowflake, Airflow, Kafka, Data Modeling, Data Warehouse, Big Data, Cloud Data Engineering