Senior Cloud Data Solutions Developer

1 day ago

Vadodara, Gujarat, India beBeeDataEngineer Full time ₹ 20,00,000 - ₹ 25,00,000
Job Description:

This is a contract remote role for an experienced PySpark Data Engineer. The ideal candidate will bring hands-on expertise in PySpark, Python, SQL, and real-time data streaming to design and implement scalable data pipelines in cloud environments.

Key Responsibilities:

  • Design, develop, and optimize data pipelines using PySpark, Spark, and Python.
  • Implement ETL/ELT solutions to integrate structured and unstructured data from multiple sources.
  • Develop and maintain Hive queries and ensure seamless data transformations.
  • Write and optimize SQL queries for large datasets.
  • Build, monitor, and support real-time streaming solutions using Apache Kafka.
  • Work on Databricks to create, manage, and optimize data workflows.
  • Deploy and manage solutions in Azure cloud services.
  • Debug, troubleshoot, and optimize code for performance and scalability.
  • Collaborate with cross-functional teams to deliver data-driven solutions.
Required Skills & Qualifications:
  • 3–4 years of experience in data engineering with a focus on PySpark and Python.
  • Strong knowledge of Spark, Hive, SQL, and Unix shell scripting.
  • Experience with Databricks in a production environment.
  • Hands-on experience with Azure cloud services.
  • Experience working with Apache Kafka or other real-time streaming technologies.
  • Strong problem-solving and debugging skills.
  • Excellent written and verbal communication skills.
Nice-to-Have Skills:
  • Exposure to CI/CD pipelines for data solutions.
  • Knowledge of data governance and security best practices.
  • Experience with Agile/Scrum methodology.

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