We are seeking a skilled Data Engineer with a strong background in ETL/ELT development and data warehousing. The ideal candidate will have hands-on experience working with various data platforms and cloud environments, as well as a solid understanding of data processing across structured, semi-structured, and unstructured datasets.

Key Responsibilities:

• Design, develop, and test ETL/ELT workflows to support enterprise data integration and transformation needs
• Write and optimize complex SQL queries for data extraction, transformation, and analysis
• Leverage tools such as SSIS, AWS Glue, and cloud-based storage and computing services (AWS, Azure)
• Work with big data technologies including Hadoop and Netezza
• Handle batch and real-time/streaming data processing for a variety of data formats
• Conduct data analysis, mapping, and profiling to ensure data quality and integrity
• Collaborate in Agile environments and contribute to sprint planning, standups, and task tracking using JIRA

Qualifications:

• Proven experience in ETL/ELT and data warehouse architecture
• Strong command of SQL and data transformation logic
• Familiarity with cloud platforms and modern data tools
• Experience in Agile development methodologies

We’re an equal opportunity employer committed to increasing diversity and inclusion in today’s workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Minorities, women, LGBTQ candidates, and individuals with disabilities are encouraged to apply. If you require an accommodation, please review our accessibility policy and reach out to our accessibility officer with any questions.