Description

You will lead data engineering initiatives, designing ETL pipelines and delivering actionable insights using SQL, Python, and R.

Responsibilities

• Design and maintain automated ETL pipelines on GCP using Dataflow, BigQuery, and Cloud Composer.
• Perform deep-dive data analysis to uncover trends and translate business questions into technical solutions.
• Develop and deploy real-time dashboards using Looker or Tableau to support data-driven decisions.
• Streamline data workflows and implement automation to improve accessibility and reliability across teams.

Required Skills

• 5+ years of overall experience in data engineering or analytics.
• Strong proficiency in SQL for complex querying and transformation.
• 1-3 years of hands-on experience with Python and R for data manipulation.
• Experience building automated ETL pipelines and working with streaming data.
• Hands-on experience with GCP services: BigQuery, Cloud Storage, Dataflow, Pub/Sub, and Cloud Functions.
• Familiarity with BI tools such as Looker, Tableau, or Google Data Studio.

Preferred Skills

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

Key Skills

Education

Any Graduate