- 5+ years of experience in data engineering, with a strong background in ETL/ELT development.
- Proficiency in Python and scripting tools.
- Experience using Azure Databricks to manage an enterprise Data Lake.
- Familiarity with SSIS/Azure Data Factory and basic Python knowledge is preferred.
- Expertise in building scalable data products using metadata-driven approaches.
- Experience gathering requirements from stakeholders and translating them into repeatable data solutions.
- Knowledge of orchestration tools and job scheduling systems for efficient data movement and processing.
- Advanced skills in T-SQL, including complex stored procedures, UDFs, and query optimization.
- Understanding of CDC (Change Data Capture) and experience with preserving historical data across multiple systems.
- Strong communication skills for presenting technical designs to senior leadership.
- Experience working in Agile environments, using tools like Azure DevOps or JIRA.
- Familiarity with code repositories like Azure DevOps, Git, etc.
- Exposure to data visualization tools such as Power BI.
- Practical knowledge of cloud-based data architectures, particularly in Azure, Databricks, or Snowflake.
- Some travel may be required for meetings or branch visits.
- Design, develop, and maintain ETL/ELT processes.
- Build reusable frameworks and functions for other data engineers to utilize.
- Ensure operational excellence through continuous monitoring and validation of data products.
- Collaborate with teams across Enterprise Architecture, Info Security, and Data Governance.
- Analyze system workflows, data usage, and work processes to improve efficiency.
- Deliver thoroughly tested data products that meet business needs.
- Follow the SDLC process, providing accurate project timelines and meeting deadlines.
- Work with DBAs to design, model, and maintain new and existing database structures for business solutions.
**We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, ethnic origin, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.**
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