Data Engineer (ID: 3702)
Summary
Build and maintain scalable data pipelines using Databricks, Spark, and Python, and create reporting solutions with Power BI.
Responsibilities
- Design, build, and maintain scalable data pipelines using Databricks, Spark, and Python
- Develop and manage data transformation workflows using dbt
- Implement and maintain ETL/ELT processes using Azure Data Factory
- Work with SQL Server to manage, query, and optimize structured data
- Create data models and support data architecture initiatives
- Develop dashboards and reporting solutions using Power BI
- Integrate data from multiple sources ensuring consistency and quality
- Support legacy and reporting systems using SSIS and SSRS (preferred)
What You Bring to the Table
- 8+ years of experience as a Data Engineer
- Strong hands‑on experience with Databricks, Spark, and Python
- Solid experience in Azure Data Factory for data orchestration
- Proficiency in SQL Server and advanced SQL querying
- Experience working with dbt for data transformation
- Exposure to Power BI for reporting and visualization
- Familiarity with SSIS and SSRS (preferred)
- Strong understanding of data architecture and data modeling concepts
You should possess the ability to
- Design efficient and scalable data pipelines and workflows
- Optimize performance of SQL queries and Spark jobs
- Handle large‑scale data processing and transformation
- Translate business requirements into technical data solutions
- Ensure data quality, integrity, and governance
- Work independently and manage multiple data engineering tasks
- Collaborate with cross‑functional teams for data‑driven solutions
- Troubleshoot and resolve data‑related issues effectively
What we bring to the table
- Opportunity to work on modern data engineering tools and technologies
- Exposure to Azure‑based data platforms and architecture
- A role focused on end‑to‑end data lifecycle management
- Hands‑on experience with Databricks, dbt, and Power BI ecosystems
- Challenging projects involving large‑scale data processing
- Collaborative environment working with data and analytics teams
Let’s Connect
Want to discuss this opportunity in more detail? Feel free to reach out.