Data Engineer

Dear Candidate,

Thanks for Applying with TCS for Data Engineer

:6th Dec 25 (Pool Hiring)

Mode: Virtual drive

Managerial Round

Technical Round

Experience : 4 to 10yrs

Location :

Telephonic interview call for managerial round

Job Description:

Experience in data engineering or big data development.

hands-on experience with Apache Spark.

• Strong programming skills in PySpark, Python, and Scala.

•experience in Scala backend development.

• Proficient in Scala, both object oriented and functional programming concepts.

• Deep understanding and application of advanced functional programming concepts like category theory, monads, applicatives, and type classes.

• Hands-On knowledge with Scala Typelevel libraries like Cats, Shapeless, and others used for building applications with strong typing and efficient concurrency.

• Solid understanding of data lakes, lakehouses, and Delta Lake concepts.

• Experience in SQL development and performance tuning. Proficient in cloud services (e.g. S3, Glue, Lambda, EMR, Redshift, CloudWatch, IAM).

• Familiarity with Airflow, dbt, or similar orchestration tools is a plus.

• Experience in CI/CD tools like Jenkins, GitHub Actions, or Code Pipeline.

• Knowledge of data security, governance, and compliance frameworks.

• Develop and maintain scalable data pipelines using Apache Spark on Databricks.

• Build end-to-end ETL/ELT pipelines on AWS/GCP/Azure using services like S3, Glue, Lambda, EMR, and Step Functions.

• Collaborate with data scientists, analysts, and business stakeholders to deliver high-quality data solutions.

• Design and implement data models, schemas, and Lakehouse architecture in Databrick/Snowflake.

• Optimize and tune Spark jobs for performance and cost-efficiency.

• Integrate data from multiple structured and unstructured data sources

. • Monitor and manage data workflows, ensuring data quality, consistency, and security.

• Follow best practices in CI/CD, code versioning (Git), and DevOps practices for data applications. • Write clean, reusable, well-documented code using Python / PySpark / Scala.

if you are interested in this position kindly share your cv or resume to this mail id guggilapubindusha.p@tcs.com