Data Enginner
Summary
Builds and maintains scalable ETL/ELT pipelines and data workflows using Python, SQL, and cloud tools to ensure reliable, high-quality data solutions.
Data Engineer (3–4 Years Experience)
About the Role
We are looking for a Data Engineer with 3–4 years of experience in building scalable data pipelines and ETL/ELT workflows. The ideal candidate should have strong Python and SQL skills, experience integrating data from multiple sources, and a passion for delivering high-quality, reliable data solutions.
Key Responsibilities
- Build and maintain scalable ETL/ELT pipelines.
- Develop data ingestion, transformation, and validation workflows.
- Optimize SQL queries and database performance.
- Monitor and troubleshoot data pipelines.
- Collaborate with cross-functional teams to deliver data solutions.
- Ensure data quality, governance, and documentation.
Required Skills
- Python, SQL, Pandas, NumPy
- ETL/ELT, Data Modeling, Data Validation
- PostgreSQL, MySQL (MongoDB/Firestore is a plus)
- REST APIs, JSON/XML
- Git, Docker, CI/CD
- AWS, Microsoft Fabric
Preferred Skills
- Snowflake or other data warehouses
- Distributed data processing
- Data governance and monitoring tools
Qualifications
- Bachelor's degree in Computer Science, IT, or related field.
- 3–4 years of experience in Data Engineering.
- Strong analytical, problem-solving, and communication skills.
What We're Looking For
A proactive engineer who can build scalable data solutions, ensure data quality, and work effectively with cross-functional teams.