Data Engineer (Snowflake / Databricks)
Summary
Builds cloud-scale data pipelines in Snowflake/Databricks, writes Python/SQL to clean and transform raw data, and delivers dashboards in Tableau or Looker for business insights.
Experience: 2–4 years
Location: Remote / Hybrid
The Role
We are looking for a mid-level Data Engineer to build scalable cloud pipelines and transform raw data into clear, actionable business insights.
Must-Have Hard Skills
- The Cloud Data Stack: 2–4 years of hands-on experience using SQL and Python inside Snowflake or Databricks.
- Data Visualization: Proven ability to build clean, intuitive dashboards in Tableau or Looker to make data easily understandable for stakeholders.
- Light DevOps: Solid understanding of Git/GitHub for version control and collaboration.
Note: Traditional RDBMS experience (MySQL/Oracle) alone will not suffice; you must have experience handling data at cloud scale.
Key Responsibilities
- Design and optimize data pipelines using Python and SQL.
- Clean and structure complex datasets for analytics.
- Partner with teams to design high-impact visual reports.
What We Offer
- Competitive salary & benefits.
- Flexible/remote work environment.
- Growth and learning stipends.