Job Description

Position Summary, Responsibilities and Expectations:

- Design, develop, and optimize scalable ETL/ELT pipelines for enterprise data ingestion, integration, and transformation.
- Build and maintain data engineering workflows using Databricks, dbt, PySpark, SQL, and Python.
- Develop Data Lake, Data Warehouse, and Lakehouse solutions, including data modeling and incremental processing.
- Collaborate with business stakeholders to understand requirements, business processes, and challenges, and translate them into effective data and analytics solutions.
- Proactively communicate with business users and technical teams to clarify requirements, provide project updates, address issues, and ensure solutions meet business expectations.
- Ensure data quality, consistency, security, and governance through validation and automated testing.
- Prepare and integrate enterprise data to support BI, AI/ML applications, and advanced analytics.
- Develop