Python/Pyspark, Bigquery with GCP, Apache Iceberg

4 weeks ago

New Delhi, India Tata Consultancy Services Full time

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 yearsRole**Python/Pyspark, Bigquery with GCP, Apache IcebergExp - 5 to 7 yearsPlease read Job description before ApplyingNOTE: 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/NMust-Have** (Ideally should not be more than 3-5) Strong proficiency inPythonprogramming. Hands-on experience withPySparkandApache Spark . Knowledge ofBig Datatechnologies (Hadoop, Hive, Kafka, etc.). Experience withSQLand relational/non-relational databases. Familiarity withdistributed computingandparallel processing . Understanding ofdata engineeringbest practices. Experience withREST APIs ,JSON/XML , and data serialization. Exposure tocloud computingenvironments. Good-to-Have 5+ years of experience in Python and PySpark development. Experience withdata warehousinganddata lakes . Knowledge ofmachine learninglibraries (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 usingPythonandPySpark . Design and implementETL (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 likeAWS ,Azure , orGCP . Implement data storage solutions and manage large-scale datasets.

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