Description

Lead data engineering initiatives and deliver advanced analytics solutions using Python, SQL, and GCP.

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 with SQL, Python, and R to uncover trends and actionable insights.
• Develop and deploy real-time dashboards using Looker, Data Studio, or Tableau.
• Streamline data workflows and drive process improvements for cross-functional teams.
• Translate business questions into technical solutions and communicate findings to stakeholders.

Required Skills

• 5-8 years of overall experience, including 1-3 years in Python and SQL.
• Proficiency in SQL for complex querying and transformation.
• Intermediate experience with Python and R for data manipulation.
• Hands-on experience with GCP services: BigQuery, Cloud Storage, Dataflow, Pub/Sub, and Cloud Functions.
• Experience building automated ETL pipelines and handling streaming data.
• Familiarity with BI tools like Looker, Tableau, or Google Data Studio.

Preferred Skills

• GCP Professional Data Engineer certification.
• Experience with CI/CD pipelines and infrastructure as code (e.g., Terraform).
• Background in data science or machine learning.

Key Skills

Education

Any Graduate