Data Engineer

Dear Candidate,

Thanks for Applying with TCS for Data Engineer

Interview date :6th Dec 25 (Pool Hiring)

Mode: Virtual drive

Managerial Round

Technical Round

Experience : 4 to 10yrs

Location :Hyderabad, Chennai, Kolkata

You will get the interview confirmation call from my Team, Kindly do Available for the Telephonic interview call for managerial round and they connect with you Confirm your availability for Virtual Interview for Technical 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 [Confidential Information]