Data Engineer
4 days ago
Cloud Data Engineer
Charlotte, NC (3 days/week)
Financial Client
12 Months
Job Description:
Seeking a Cloud Data Engineer skilled in Python, PySpark, SQL, and enterprise-level data warehousing. Must collaborate effectively with business users and possess business analyst expertise.
Major Responsibilities:
- Build and optimize data pipelines ensuring quality and integrity.
- Design, develop, and deploy Spark programs in Databricks for large-scale data processing.
- Work with Delta Lake, DWH, data integration, cloud platforms, and data modeling.
- Develop programs in Python and SQL; write complex queries and stored procedures.
- Implement dimensional data modeling and work with event-based/streaming data ingestion.
- Handle structured, semi-structured, and unstructured data.
- Optimize and troubleshoot Databricks jobs for performance and scalability.
- Apply best practices for data management, security, and governance in Databricks.
- Design and develop enterprise data warehouse solutions.
- Conduct code reviews to ensure standards and efficiency.
Skills:
- 5+ years Python coding and SQL Server development with large datasets.
- 5+ years experience building and deploying ETL pipelines with Databricks PySpark.
- Experience with cloud data warehouses (Synapse, BigQuery, Redshift, Snowflake).
- Strong background in OLTP, OLAP, dimensional modeling, and data warehousing.
- Led enterprise-wide Cloud Data Platform migrations; strong architecture/design skills.
- Familiarity with cloud data architectures, messaging, and analytics.
- Cloud certification(s) required.
- Airflow experience a plus.
Education:
Minimum BA in engineering/computer science; Master's preferred.
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