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.
📌 Lead Ii Data Engineer Aws Bengaluru
🏢 UST
📍 Bengaluru
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