Requirements:
- Bachelor's degree in Engineering, Computer Science, or a related field, or equivalent professional experience.
- Over 3 years of experience designing and implementing processes for data transformation, data structures, metadata management, and workload dependencies.
- Strong proficiency in SQL with at least 3 years of hands-on experience with relational databases, including query writing and working with various database systems.
- Proven experience in handling and processing large, disparate datasets.
- Familiarity with multiple database platforms such as SQL Server, MySQL, PostgreSQL, and AWS services (RedShift, ElasticSearch).
- Expertise in object-oriented and functional programming languages, such as Python, R, Java, C++, or Scala, and experience with data modeling and schema documentation to ensure data integrity and accessibility
- Maintain and optimize existing SSIS packages, stored procedures, and ETL processes supporting SSRS.
- Fine-tune and optimize SQL queries for both SQL Server and PostgreSQL to ensure high performance.
- Provide ongoing support for various data integration and transformation tasks.
- Collaborate with cross-functional teams to ensure data accuracy, integrity, and accessibility.
- Opportunity to learn and work with Python, with exposure to MongoDB as part of the data infrastructure.
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