Lead Data Engineer
2 weeks ago
We are seeking an experienced and driven Lead Data Engineer to spearhead the
design and development of a modern, cloud-native data warehouse on AWS. This role
is critical to building a scalable, secure, and efficient data platform that supports
analytics, reporting, and AI use cases across the organization. The ideal candidate is
both technically hands-on and capable of leading a team to deliver enterprise-grade
data solutions.
Requirements:
• Minimum 7 years of experience in data engineering, with at
least 3 years working in cloud-based environments (preferably
AWS).
• Strong hands-on experience with AWS S3, Glue, Redshift,
Lambda, Step Functions, and other core AWS services.
• Proficient in SQL and Python for data transformation and
automation.
• Experience in building and managing data models and data
pipelines for large-scale data environments.
• Solid understanding of data warehousing principles, data lakes,
and modern data architecture.
• Experience leading and mentoring data engineering teams.
• Strong communication and collaboration skills to work with
cross-functional teams.
Experience with Power BI, Snowflake on AWS, or Databricks is a plus.
• Exposure to DevOps practices such as CI/CD.
• Familiarity with data governance and security frameworks in
AWS
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