Big Data Engineer

16 hours ago

Hyderabad, India Tata Consultancy Services Full time

TCS Hiring Virtual Drive ***12-Nov-25 Python/Pyspark, Bigquery with GCP, Apache IcebergTCS - Hyderabad12 PM to 1 PMImmediate Joiners5 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 yearsLocation : HyderabadCurrent CTCExpected CTCNotice period: ImmediateWhether worked with TCS - Y/NMust-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-Have5+ 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.SNResponsibility of / Expectations from the Role 1Develop 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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