Description :

Key Responsibilities :

- As an AWS Data Engineer, your key responsibilities will include the design, development, and maintenance of data pipelines leveraging Spark and PySpark to ensure high-performance data processing.

- You'll work to optimize existing data flows and processes, focusing primarily on Spark/PySpark coding.

- Collaboration with data analysts to fulfill data requirements for analytics purposes is expected.

- While limited experience with AWS EMR, GLUE, and LAMBDA is anticipated, your core duty will involve enhancing data processing frameworks and ensuring swift data availability for business insights.

Requirements :

- The ideal candidate should possess 8+ years of experience as an AWS Data Engineer with strong coding skills in Spark and PySpark. Although only limited experience is necessary with AWS EMR, GLUE, and LAMBDA, familiarity with these services is valued.

- Candidates should be based in Bangalore, Chennai, Hyderabad, or Pune and must be ready for immediate joining.

- A bachelor's degree in computer science or a related field is essential, along with strong analytical capabilities and effective communication skills.

Benefits and Opportunities :

- with comprehensive benefits like health coverage and professional development opportunities.

- As an AWS Data Engineer with 8+ years of experience, you'll work at the forefront of data innovation, utilizing your strong skills in Spark and PySpark coding.

Based in :

- Bangalore,

- Chennai,

- Hyderabad,

- or Pune

- You'll have the opportunity to contribute to cutting-edge projects. Only immediate joiners are considered, offering a fast-paced environment for impactful contributions.