Python/Pyspark, Bigquery with GCP, Apache Iceberg

TCS Hiring !!Virtual Drive ***

TCS - Hyderabad

12 PM to 1 PM

Immediate Joiners

5 to 7 years

Role**

Exp -

NOTE: If the skills/profile matches and interested, please reply to this email by attaching your latest updated CV and with below few details:

Name:

Contact Number:

Email ID:

Highest Qualification in: (Eg. B.Tech/B.E./M.Tech/MCA/M.Sc./MS/BCA/B.Sc./Etc.)

Current Organization Name:

Total IT Experience-

Location : Hyderabad

Current CTC

Expected CTC

Notice period: Immediate

Whether worked with TCS - Y/N

Must-Have**

(Ideally should not be more than 3-5)

• Strong proficiency in

  Python

  programming.
• Hands-on experience with

  PySpark

  and

  Apache Spark

  .
• Knowledge of

  Big Data

  technologies (Hadoop, Hive, Kafka, etc.).
• Experience with

  SQL

  and relational/non-relational databases.
• Familiarity with

  distributed computing

  and

  parallel processing

  .
• Understanding of

  data engineering

  best practices.
• Experience with

  REST APIs

  ,

  JSON/XML

  , and data serialization.
• Exposure to

  cloud computing

  environments.

Good-to-Have

• 5+ years of experience in Python and PySpark development.
• Experience with

  data warehousing

  and

  data lakes

  .
• Knowledge of

  machine learning

  libraries (e.g., MLlib) is a plus.
• Strong problem-solving and debugging skills.
• Excellent communication and collaboration abilities.

SN

Responsibility of / Expectations from the Role

1

• Develop and maintain scalable data pipelines using

  Python

  and

  PySpark

  .
• Design and implement

  ETL (Extract, Transform, Load)

  processes.
• Optimize and troubleshoot existing PySpark applications for performance.
• Collaborate with cross-functional teams to understand data requirements.
• Write clean, efficient, and well-documented code.
• Conduct code reviews and participate in design discussions.
• Ensure data integrity and quality across the data lifecycle.
• Integrate with cloud platforms like

  AWS

  ,

  Azure

  , or

  GCP

  .
• Implement data storage solutions and manage large-scale datasets.