Description

You will lead data engineering initiatives, building and optimizing data pipelines and analytical solutions.

This role is on-site.

Responsibilities

• Design, build, and maintain automated ETL pipelines on GCP using Dataflow and BigQuery.
• Perform deep-dive data analysis using SQL, Python, and R to identify trends and actionable insights.
• Develop and deploy real-time dashboards using BI tools to support data-driven decision-making.
• Optimize data workflows across teams, driving process improvements and automation.
• Communicate analytical findings and recommendations clearly to both technical and non-technical audiences.

Required Skills

• 8+ years of professional experience in data engineering or a related field.
• Proficiency in SQL for complex data querying and transformation.
• Intermediate experience with Python and R for data manipulation and statistical analysis.
• Hands-on experience with GCP services including BigQuery, Dataflow, and Cloud Storage.
• Experience building automated ETL pipelines, including working with streaming data.
• Familiarity with dashboarding tools such as Tableau or Google Data Studio.

Preferred Skills

• Experience with CI/CD Pipelines and infrastructure as code (Terraform).
• Background in Data Science.

Key Skills

Education

Any Gradute