Description

You will lead data engineering efforts to build automated pipelines and deliver actionable analytical insights.

Responsibilities

• Design, build, 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 patterns.
• Develop and deploy real-time dashboards using Looker, Data Studio, or other BI tools.
• Streamline data workflows and implement automation to improve data accessibility and reliability.
• Translate business requirements into technical analytical solutions for stakeholders.

Required Skills

• 5-8 years of overall professional experience.
• 1-3 years of strong experience with 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, Cloud Storage, Dataflow, Pub/Sub, and Cloud Functions.
• Experience building automated ETL pipelines and working with streaming data.
• Familiarity with dashboarding tools such as Looker, Tableau, or Google Data Studio.
• Strong stakeholder management and communication skills.

Preferred Skills

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

Key Skills

Education

Any Graduate