1. Lead and mentor data engineering teams, ensuring alignment with technical and business objectives.
2. Architect, design, and implement scalable and high-performance data pipelines.
3. Collaborate with cross-functional teams to deliver comprehensive data solutions.
4. Oversee project execution, ensuring timely delivery using tools like JIRA and best practices.
Job Requirements:
1. 8–10 years of experience in data engineering and AWS technologies.
2. Expertise in Python, PySpark, and Spark architecture.
3. Hands-on experience with AWS Glue, Redshift, Lambda, S3, and Athena.
4. Familiarity with Infrastructure as Code (IaC) tools like CloudFormation and Terraform.
📌 Lead II - Data Engineer (AWS) (Bengaluru)
🏢 UST
📍 Bengaluru
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