Typical Day in the Role:
• Develop Data Quality and Data Profiling solutions, data pipelines, services, and components to enable enterprise-wide use of Data Quality Services
• Work closely with Enterprise platform partners, IT partners, Data Governance Offices and business users across the enterprise to build well-managed data quality that drives data transparency and ensures a high degree of data quality across the bank
• Work closely with data engineers and DevOps engineers to build data management capabilities that drive real business outcomes
• Participate in planning and retrospective sessions, attend stand-ups, etc.
• Work with Solution leads to enhance Data Quality capabilities
• Participate in planning and retrospective sessions, attend stand-ups, etc.
Must Have Skills/Requirements:
1) 8+ years experience as a Data Engineer
2) Experience in building data software; experience with DataStage
3) Experience working with Python, DBT, big Query
4) Experience working with relational databases (Oracle, SQL Server, MySQL, PostgreSQL).
5) Experience working with big data technologies (e.g. Spark, Hive, Airflow)
6) Understanding of data management disciplines such as data quality, data profiling, etc.
Nice to have Skills:
1) Previous experience working in a financial institution
2) Experience with Talend
Soft Skills:
• Strong Analytical skills.
• Strong communication skills, both written and spoken
• Team player, self-starter
• Attention to details, high standards for quality
• Writing and maintaining clear documentation
Education: Bachelor Degree in Computer Science or Computer Engineering