Developer

Reposted One Month Ago
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Ap Transco, Kalyan Nagar, Hyderabad, Telangana, IND
In-Office
Senior level
Information Technology • Professional Services • Software • Cybersecurity
The Role
Develop and maintain scalable data pipelines using Python and PySpark. Implement ETL processes, optimize performance, and ensure data quality while collaborating with cross-functional teams.
Summary Generated by Built In

Must-Have**

  • 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 data engineering best practices.

  • Experience with REST APIs, JSON/XML, and data serialization.

  • Exposure to cloud computing environments.

  • 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.

  • 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.

Skills Required

  • 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 data engineering best practices.
  • Experience with REST APIs, JSON/XML, and data serialization.
  • Exposure to cloud computing environments.
  • 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.
Am I A Good Fit?
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The Company

What We Do

GSB Solutions is a global company offering technology solutions, ICT solutions, human capital management, educational programs, and cybersecurity services, leading digital transformation through software development and IT consulting.

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