Description

You will lead data engineering efforts, owning the lifecycle from data ingestion to final analytical delivery.

Responsibilities

• Perform deep-dive data analysis using SQL, Python, and R to uncover trends and actionable insights.
• Design, build, and maintain automated ETL pipelines on GCP using Dataflow, BigQuery, and Cloud Composer.
• Develop and deploy real-time dashboards using Looker or Data Studio to support data-driven decisions.
• Identify and implement opportunities to streamline data workflows across cross-functional teams.
• Communicate findings and recommendations clearly to technical and non-technical audiences.

Required Skills

• 5+ years of overall experience, with 1-3 years focused on Python and SQL.
• 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 Composer.
• Experience building automated ETL pipelines and working with streaming data.
• Familiarity with dashboarding tools such as Looker or Tableau.
• Strong problem-solving skills with the ability to work independently.
• Excellent communication and stakeholder management skills.

Preferred Skills

• GCP certification.
• Experience with CI/CD Pipelines.

Key Skills

Education

Any Graduate