Lead Data Engineer

Key Skills

• Data Engineering, SQL, Python, Snowflake, dbt, Apache Airflow
  

• Cloud Platforms: AWS / Azure / GCP
  

• CI/CD, Git, Infrastructure as Code (Terraform)
  

• Team Leadership & Stakeholder Collaboration
  

Responsibilities

• Design, build, and optimize scalable data pipelines (Airflow, dbt, SQL, Python).
  

• Develop and maintain Snowflake data models, transformations, and performance tuning.
  

• Ensure data quality, monitoring, and validation across pipelines.
  

• Automate infrastructure provisioning (Snowflake, Airflow) using IaC tools.
  

• Collaborate with analysts, data scientists, and business teams to deliver technical solutions.
  

• Lead technical projects and mentor team members.
  

Qualifications

• Bachelor’s/Master’s in Computer Science, IT, or related field.
  

• Proven expertise in Snowflake, Airflow, dbt, SQL, Python, and cloud data engineering.
  

• Strong knowledge of data warehousing, ELT best practices, and CI/CD workflows.
  

• Good to have: Streaming data (Kafka/Kinesis), BI tools (Power BI, Tableau, Looker), Data Governance.