Description

You will lead data engineering efforts by building and maintaining ETL pipelines and driving advanced data analysis to support business decisions.

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 actionable insights.
• Develop and deploy real-time dashboards using Looker, Data Studio, or Tableau to support data-driven decision-making.
• Identify opportunities to streamline data workflows and drive process improvements across cross-functional teams.

Required Skills

• 5+ years of overall experience in data engineering or analytics.
• Strong proficiency in SQL for complex querying and transformation.
• Intermediate to strong experience with Python and R for data manipulation.
• Hands-on experience with GCP services including BigQuery, Cloud Storage, Dataflow, Pub/Sub, and Cloud Functions.
• Proven track record building automated ETL pipelines and working with streaming data.
• Familiarity with dashboarding tools like Looker, Tableau, or Google Data Studio.
• Ability to translate business questions into technical solutions and communicate findings clearly.

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