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About the role
Role Responsibilities : Lead and mentor data engineering teams, ensuring alignment with technical and business objectives. Architect, design, and implement scalable and high-performance data pipelines. Collaborate with cross-functional teams to deliver comprehensive data solutions. Oversee project execution, ensuring timely delivery using tools like JIRA and best practices. Job Requirements : 8–10 years of experience in data engineering and AWS technologies. Expertise in Python, PySpark, and Spark architecture. Hands-on experience with AWS Glue, Redshift, Lambda, S3, and Athena. Familiarity with Infrastructure as Code (IaC) tools like CloudFormation and Terraform.
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