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Senior Data Engineer

Senior Data Engineer

DatalensHyderabad, Telangana, India
2 days ago
Job description

We are seeking a highly skilled Senior Data Engineer with extensive experience in PySpark, Python, and SQL, and hands-on expertise in Databricks. The ideal candidate will have a strong background in designing, building, and maintaining scalable data pipelines and data processing systems.

Experience Required : 6 years

Offered Salary-15 LPA Max

Key Responsibilities :

  • Develop and maintain robust data pipelines using PySpark and Python to handle large volumes of data.
  • Design and implement SQL queries for data extraction, transformation, and analysis.
  • Utilize Databricks for data engineering tasks, including cluster management, job orchestration, and performance optimization.
  • Collaborate with cross-functional teams to understand data requirements and provide data solutions.
  • Monitor and troubleshoot data workflows to ensure data integrity and performance.
  • Optimize and refactor existing data processes for improved efficiency and scalability.

Required Skills :

  • Proven experience with PySpark for large-scale data processing.
  • Proficiency in Python programming for data manipulation and automation.
  • Strong SQL skills for querying and managing relational databases.
  • Hands-on experience with Databricks, including workspace management and cluster optimization.
  • Solid understanding of data modeling, ETL processes, and data warehousing concepts.
  • Excellent problem-solving skills and the ability to work independently and as part of a team.
  • Education :

  • Bachelor’s degree in Computer Science, Engineering, or a related field. Advanced degrees or certifications in data engineering are a plus.
  • If you meet the above qualifications and are excited about contributing to a cutting-edge data environment, we encourage you to apply

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    Senior Data Engineer • Hyderabad, Telangana, India

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