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Python / Pyspark, Bigquery with GCP, Apache Iceberg

Python / Pyspark, Bigquery with GCP, Apache Iceberg

Tata Consultancy ServicesHyderabad, Telangana, India
15 hours ago
Job description

TCS Hiring !!Virtual Drive

  • 12-Nov-25 Python / Pyspark, Bigquery with GCP, Apache Iceberg

TCS - Hyderabad

12 PM to 1 PM

Immediate Joiners

5 to 7 years

Role

  • Python / Pyspark, Bigquery with GCP, Apache Iceberg
  • Exp - 5 to 7 years

    Please read Job description before Applying

    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- 5 to 7 years

    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

  • 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.
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    Bigquery Gcp Iceberg • Hyderabad, Telangana, India

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