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Pyspark Developer

Pyspark Developer

Tata Consultancy Services

5 - 10 years

1 Lacs

hyderabad chennai bengaluru

Posted:21 hours ago| Platform:

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Skills Required

pyspark python sql

Work Mode

Work from Office

Job Type

Full Time

Job Description

Role-

Experience

Location

Job Requirements

4- 6yrs of experience with strong proficiency in Python and PySpark.
Experience working on Spark SQL, RDD, and DataFrame APIs.
Good understanding of Hadoop ecosystem (Hive, HDFS, YARN).
Knowledge of data formats like Parquet, Avro, JSON, etc.
Experience with SQL and writing efficient queries.
Familiarity with job orchestration tools (Airflow, Oozie, or similar).
Version control systems like Git.
Exposure to cloud platforms (AWS/GCP/Azure) is a plus.

Key responsibilities:

1. Design, develop, and maintain robust ETL/ELT pipelines using PySpark and other big data technologies. Optimize Spark jobs for performance and scalability.
2. Implement data transformations, aggregations, and joins over large datasets. Perform batch and real-time data processing tasks. 3. Collaborate with data scientists, analysts, and other engineers to understand requirements and deliver quality solutions. Integrate PySpark solutions with data warehouses (like Hive, Redshift, Snowflake) and other data stores. 4. Write clean, maintainable, and well-documented code. Follow version control and CI/CD practices using tools like Git, Jenkins, or Azure DevOps. 5. Troubleshoot data quality and performance issues. Monitor pipeline health and ensure SLAs are met. 6. Work with tools and platforms like Hadoop, Hive, HDFS, AWS EMR, Databricks, or Azure Synapse as required.

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Pyspark Developer