Analyst Quality Assurance Engineer
Posted Updated 7
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Summary
Designs, implements, and optimizes data pipelines and ETL processes using Python, SQL, and DevOps tools to ensure data quality, security, and scalability for financial-sector applications.
You will design, implement, and optimize data pipelines, ETL processes, and data storage solutions. You will work with data, product, analytics, and citizen developer teams; establish data engineering practices focused on quality, security, and scalability; and use Python, SQL, databases, Linux, and DevOps tools.
Responsibilities
- Solve sophisticated business problems through data
- Deliver the design, implementation, and optimization of data pipelines
- Develop ETL processes and data storage solutions
- Work with multifunctional teams to meet business data infrastructure needs
- Establish data engineering practices focused on data quality, security, and scalability
Requirements
- 1+ years of data engineering experience, preferably in the financial sector
- Strong Python and SQL skills
- Experience with Snowflake, PostgreSQL, Greenplum, or similar databases
- Strong problem-solving skills
- Bachelor’s degree in Computer Science, Engineering, Finance, Economics, or a related field
- Knowledge of Linux and Bash
- Experience working in an agile development team
- Experience with DevOps and Azure DevOps
Benefits
- Healthcare
- Leave benefits
- Retirement benefits
- Annual discretionary bonus
- Education reimbursement
- Family support programs
- Flexible Time Off
- Parental leave
- Employee Assistance Program
- Mental Health Ambassadors