Senior Data Engineer
1 month ago
Matrix is seeking a highly experienced Senior Data Engineer to lead our data engineering team. As a key member of our technical team, you will be responsible for ensuring seamless data integration into our Actimize system.
Key Responsibilities:- Lead and manage database systems and technical business analysis projects, ensuring alignment with organizational goals.
- Work closely with cross-functional teams to define data requirements, deliver solutions, and ensure they meet business objectives.
- Analyze and document current business processes, identifying areas for improvement, and develop strategies to optimize database performance and efficiency.
- Provide hands-on expertise in ETL design, development, and error handling, with a deep understanding of Actimize SAM, AIS modules, and the Actimize Data Model.
- Design, develop, and implement data solutions within financial institutions, specifically focusing on Actimize SAM, with a minimum of 3 years of relevant experience.
- Offer technical leadership, guidance, and mentorship to junior analysts and team members, ensuring knowledge transfer and skills development.
- Ensure data integrity, security, and availability across all database systems, maintaining compliance with industry standards.
- Establish and implement best practices for database management, technical business analysis, and process improvements.
- Effectively communicate findings, insights, and recommendations to stakeholders, ensuring clear understanding and alignment with business objectives.
- Track and report on project progress, ensuring timely delivery of objectives and successful completion of initiatives.
- Perform gap analysis on new Actimize software versions and features, evaluating the impact on current functionality and proposing necessary adjustments.
- Document all business and data analysis findings, including recommendations for future improvements.
- Prepare and execute test cases, assist during User Acceptance Testing (UAT), and work with business users to review and validate UAT outcomes.
- Demonstrated experience working with cloud technologies, preferably on GCP.
- Advanced proficiency in MS SQL (with strong query performance tuning skills), SAS, SQL, Python, PySpark, or Scala (SAS experience preferred but not required).
- Extensive knowledge of AML Transaction Monitoring standards and best practices within large, global financial institutions.
Requirements:
- Master's or bachelor's degree in computer science, Data Science, Data Management, Statistics or related fields.
- Proven experience of 5-10 years.
Matrix is a global, dynamic, fast-growing technical consultancy leading technology services company with 13000 employees worldwide. We are comprised of talented, creative, and dedicated individuals passionate about delivering innovative solutions to the market. We source and foster the best talent and recognize that all employee's contributions are integral to our company's future. Matrix's success is based on a challenging work environment, competitive compensation and benefits, and rewarding career opportunities. We encourage a diverse work environment of sharing, learning, and growing together. Come and join the winning team.
To Learn More, Visit: www.matrix-ifs.com
EQUAL OPPORTUNITY EMPLOYER: Matrix is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind. Matrix is committed to the principle of equal employment opportunity for all employees, providing employees with a work environment free of discrimination and harassment. All employment decisions at Matrix are based on business needs, job requirements, and individual qualifications, regardless of race, color, religion or belief, family or parental status, or any other status protected by the laws or regulations in our locations. Matrix will not tolerate discrimination or harassment based on any of these characteristics. Matrix encourages applicants of all ages.
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