Dear Applicants,

Greeting from TCS!

TCS is conducting Virtual Interview on 19th Aug-Wed

Education: Minimum 15 years of full-time education (10th, 12th and Graduation)

Role - Azure Databricks (Developer)

Skills - AWS Glue, Databricks, PySpark, Python, SQL, and cloud-based data engineering frameworks.

Location - Chennai, Bangalore, Hyderabad

Exp - 8-12years

Apply if Interested

Mode of Interview: Virtual

Date: 19th Aug-Wed

Time: 11:00 AM to 3:30 PM

JD:

Role : Aws Databricks

Experience: 8 to 12 years in AWS Databricks

Location: Chennai, Bangalore, Hyderabad

Job Summary:

We are looking for a highly skilled AWS Databricks Data Engineer with 8–12 years of experience in designing, developing, and maintaining large-scale data platforms. The ideal candidate should possess strong hands-on expertise in AWS Glue, Databricks, PySpark, Python, SQL, and cloud-based data engineering frameworks . The role requires building scalable ETL/ELT pipelines, data lakes, and data warehouse solutions while collaborating with business and technology stakeholders.

Must-Have Skills:

- Solid hands-on experience in AWS Glue
- Expertise in Databricks (Notebooks, Jobs, Delta Lake)
- Advanced programming skills in PySpark and Python
- Strong SQL and Data Warehousing concepts
- Experience with AWS services such as S3, EMR, Lambda, IAM, Athena, Redshift




- Experience in designing and developing ETL/ELT pipelines
- Data Lake and Lakehouse architecture implementation
- Git/GitHub for version control
- Performance tuning and optimization of Spark jobs

Good-to-Have Skills:

- Apache Airflow
- dbt (Data Build Tool)
- Snowflake
- Terraform / CloudFormation
- Kafka or Event-driven architecture
- CI/CD pipelines implementation
- Exposure to Agile methodology

Roles & Responsibilities:

- Design, build, and maintain scalable data pipelines using AWS Glue and Databricks.
- Develop and optimize ETL/ELT workflows using PySpark and Python.
- Implement data ingestion frameworks for structured and unstructured data.
- Build and manage Data Lake/Lakehouse solutions on AWS.
- Create reusable data processing frameworks and data quality checks.
- Monitor, troubleshoot, and optimize data pipelines for performance and reliability.
- Collaborate with business stakeholders, architects, and development teams to gather requirements and deliver solutions.
- Ensure adherence to security, governance, and data management best practices.
- Participate in code reviews and mentor junior data engineers.
- Support production deployments and resolve critical issues.

Education:

- BE / B.Tech / MCA / M.Tech or equivalent qualification.

Lets connect soon!!

Regards

📌 AWS Databricks - Developer (Virtual interview) (Bengaluru)
🏢 Tata Consultancy Services
📍 Bengaluru