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Senior Data Engineer

DatalensHyderabad, Telangana, India

1 day 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