Work from Office
Full Time
Design and develop scalable big data pipelines and solutions.
Collaborate with project leads and clients to gather and refine requirements.
Translate complex business needs into technical designs.
Oversee project lifecycle from design to production deployment.
Mentor and guide junior engineers.
Optimize Spark jobs and SQL queries for performance.
Implement and maintain CI/CD pipelines.
Strong expertise in Python, PySpark, Spark architecture, and performance tuning.
Proficient in writing optimized SQL with focus on performance tuning.
Extensive experience with AWS data engineering services: Glue, Lambda, API Gateway, and S3.
Good working knowledge of Unix environments.
Hands-on experience with CloudFormation and CI/CD pipelines (preferred).
Strong problem-solving and analytical skills.
Excellent communication and collaboration abilities.
Ability to thrive in a fast-paced, dynamic environment.
Deliver results within deadlines and project timelines.
Aws Cloud,Spark,Pyspark,Sql
UST
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