Lead - Data Engineer

Lead - Data Engineer Job Description

• 8+ years of experience in Data Engineering.
• 5+ years of hands-on experience with AWS data services.
• Strong proficiency in Python and/or Scala.
• Experience building ETL/ELT pipelines at scale.
• Strong SQL and data modeling expertise (OLAP, dimensional modeling, lakehouse).
• Hands-on experience with:
  • Spark / PySpark
  • Airflow or similar orchestration tools
  • REST APIs and microservices
  • Experience using GitHub Copilot or similar AI-assisted development tools in enterprise environments.
  • Solid understanding of IAM, encryption, networking, and cloud security best practices.

Preferred Qualifications

• AWS Certifications (e.g., AWS Certified Solutions Architect, AWS Certified Data Analytics).
• Experience with streaming technologies (Kafka, Kinesis).
• Experience with containerization (Docker, Kubernetes).
• Knowledge of Delta Lake, Iceberg, or Hudi.
• Experience implementing data observability solutions.

Leadership Soft Skills

• Proven ability to lead engineering teams and drive architectural decisions.
• Strong stakeholder communication skills.
• Ability to balance delivery velocity with engineering excellence.
• Experience working in Agile/Scrum environments.

Nice to Have

• Experience implementing cost governance and FinOps best practices on AWS.
• Exposure to AI/ML pipeline integration.
• Experience designing multi-account AWS architectures.

Mandatory Competencies

• Data AI - Data Engineering - Data Quality Validation
• Data AI - Data Engineering - Apache Kafka
• Data AI - ETL OTHERS - Snowflake
• Big Data - Big Data - Pyspark
• Data Science and Machine Learning - Data Science and Machine Learning - Apache Spark
• Data Science and Machine Learning - Data Science and Machine Learning - Python
• Data Science and Machine Learning - Data Science and Machine Learning - Databricks
• Database - Database Programming - SQL