Role Overview
We are looking for a Data Engineer with 3–5 years of experience in data management, pipeline development, data warehousing, and lakehouse engineering. The candidate will work with SQL, Python, Microsoft Fabric, Snowflake, and Databricks to build reliable data solutions and support analytics requirements.
Responsibilities
- Develop and maintain ETL/ELT data pipelines.
- Design and optimize SQL queries and data warehouse structures.
- Work with Microsoft Fabric, Snowflake, and Databricks for data processing.
- Develop data models and lakehouse solutions.
- Implement full and incremental data ingestion processes.
- Build and maintain reliable data pipelines for analytics.
- Work with data warehouse and medallion architecture frameworks.
- Support BI and analytics requirements using Power BI, Tableau, or similar tools.
- Document data workflows, processes, and technical solutions.
- Collaborate with data analysts and software engineers to deliver high-quality datasets.
Requirements
- 3–5 years of experience in data engineering.
- Proficiency in SQL and Python.
- Experience with Microsoft Fabric, Snowflake, and Databricks.
- Strong understanding of Data Warehousing and Data Modeling.
- Immediate joiners preferred.
Skills
- SQL
- Python
- Microsoft Fabric
- Snowflake
- Databricks
Nice to Have
- Azure Data Factory
- Data Lakehouse
- DevOps
- Azure Storage Accounts
- ETL
- Power BI
- Tableau
- Medallion Framework