Description

Lead data engineering initiatives by building automated ETL pipelines and delivering actionable insights through advanced analysis and dashboarding.

This role is on-site.

Responsibilities

• Design and maintain automated ETL pipelines on GCP using Dataflow, BigQuery, and Cloud Composer.
• Perform deep-dive data analysis using SQL, Python, and R to uncover trends and translate business questions into solutions.
• Develop and deploy real-time dashboards using Looker or Google Data Studio to support data-driven decision-making.
• Streamline data workflows across cross-functional teams to enhance accessibility and reliability.

Required Skills

• 5+ years of overall experience, with 1-3 years strong in Python and SQL.
• Proficiency in SQL for complex querying and transformation.
• Hands-on experience with GCP services: BigQuery, Cloud Storage, Dataflow, Pub/Sub, and Cloud Functions.
• Experience building automated ETL pipelines and working with streaming data.
• Intermediate experience with R for data manipulation and statistical analysis.
• Familiarity with dashboarding tools like Looker, Tableau, or Google Data Studio.

Preferred Skills

• GCP certification (e.g., Professional Data Engineer).
• Experience with CI/CD pipelines and infrastructure as code (e.g., Terraform).

Key Skills

Education

Any Graduate