Pyspark Developer @ Capgemini Technology

Job Description

Job Overview:

We are looking for a highly skilled PySpark Developer with strong experience in building and optimizing large-scale data processing systems. This role is ideal for professionals who are passionate about big data technologies, distributed computing, and building high-performance data pipelines.

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Key Responsibilities:

• Develop, test, and maintain scalable data pipelines using PySpark and Python.

• Collaborate with data engineers, architects, and stakeholders to design effective data solutions.

• Optimize ETL workflows for performance and reliability.

• Participate in the development and implementation of CI/CD pipelines and software release processes.

• Work with SQL and analytical functions to support business data needs.

• Contribute to architectural discussions and strategic technical decisions.

• Gain exposure and training in AWS Cloud Technologies.

• Handle real-time data integration and processing tasks using Spark.

• Ensure data integrity and consistency across large and complex datasets.

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Required Skills:

• Minimum 2 years of hands-on experience in PySpark.

• Strong programming experience in Python; familiarity with Scala is a plus.

• Proficiency in SQL, including analytical functions and complex queries.

• Experience in Spark-based distributed data processing.

• Understanding of CI/CD practices and build/release management.

• Familiarity with Apache Hadoop ecosystem (Hive, HDFS, etc.) is advantageous.

• Strong analytical and problem-solving skills.

• Ability to collaborate effectively with cross-functional teams.

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Primary Skills:

• PySpark

• SQL

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Preferred/Secondary Skills:

• Experience with cloud platforms like AWS, Azure, or GCP.

 

Location: Pan India (Remote/Hybrid options may be discussed)
Notice Period: Immediate joiners or candidates with up to 15 days notice

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Keyskills:   azure sql aws python apache hadoop gcp