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Data Warehouse Analyst

2 months ago

Detroit, Michigan, United States Jobs for Humanity Full time
About the Role

We are seeking a highly skilled Data Warehouse Analyst to join our Investment Data Platform team at FIS Global. As a key member of our team, you will be responsible for designing, developing, and maintaining cost-effective and high-performance data models, data architecture, and data integration pipelines in Snowflake.

Key Responsibilities
  • Plan, design, develop, and maintain data models, data architecture, and data integration pipelines in Snowflake, following best practices and standards of data warehousing concepts.
  • Develop complex SQL queries, performance tuning, and stored procedures/functions.
  • Perform ELT/ETL development involving complex data transformation, pivot tables, and complex calculators.
  • Exposure to DBT, Airflow, Astronomer, and Qlik.
  • Experience with Python programming language.
  • Exposure to Agile development methodology and a great team player in scrum teams.
  • Experience delivering and supporting a Snowflake-based data warehouse application in production is a plus.
  • Assist the Investment Data Platform team in building various Data Marts sourced from Data Lakes.
  • Familiarity with multiple cloud platforms is a plus, as source data could originate from AWS, Azure, or FIS cloud environments.
  • Thoroughly test all programming work and any changes introduced to the Production environment, ensuring Data Quality.
  • Coordinate with Product Managers/QA and perform integration testing as needed.
  • Provide production support by resolving technical or functional issues, in line with the procedures defined by FIS.
  • Provide advice and guidance on data movement across platforms and environments.
  • Create relevant documents around database objects and all development activities.
  • Implement innovative changes that improve data flow and bring efficiency.
Requirements
  • Experienced in Snowflake - Snowpark, SnowSQL, Database, and Data Warehouse concepts.
  • Extensive experience with complex SQL queries, performance tuning, and stored procedures/functions.
  • Perform ELT/ETL development involving complex data transformation, pivot tables, and complex calculators.
  • Exposure to DBT, Airflow, Astronomer, and Qlik.
  • Experience with Python programming language.
  • Exposure to Agile development methodology and a great team player in scrum teams.
  • Experience delivering and supporting a Snowflake-based data warehouse application in production is a plus.
  • Assist the Investment Data Platform team in building various Data Marts sourced from Data Lakes.
  • Familiarity with multiple cloud platforms is a plus, as source data could originate from AWS, Azure, or FIS cloud environments.
  • Thoroughly test all programming work and any changes introduced to the Production environment, ensuring Data Quality.
  • Coordinate with Product Managers/QA and perform integration testing as needed.
  • Provide production support by resolving technical or functional issues, in line with the procedures defined by FIS.
  • Provide advice and guidance on data movement across platforms and environments.
  • Create relevant documents around database objects and all development activities.
  • Implement innovative changes that improve data flow and bring efficiency.
What We Offer
  • A career at FIS is more than just a job. It's the chance to shape the future of fintech.
  • Always-on learning and development.
  • Collaborative work environment.
  • Opportunities to give back.
  • Competitive salary and benefits.
Additional Information

FIS is committed to providing its employees with an exciting career opportunity and competitive compensation. The pay range for this full-time position is $89, $149,820.00 and reflects the minimum and maximum target for new hire salaries for this position based on the posted role, level, and location. Within the range, actual individual starting pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Any changes in work location will also impact actual individual starting pay. Please consult with your recruiter about the specific salary range for your preferred location during the hiring process.