Lead Data Engineer

Key Skills

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

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  Cloud Platforms: AWS / Azure / GCP

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

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  Team Leadership & Stakeholder Collaboration

Responsibilities

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

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

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  Ensure data quality, monitoring, and validation across pipelines.

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

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

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  Lead technical projects and mentor team members.

Qualifications

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

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

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

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