Data Engineer
2 weeks ago
- Identifies requirements for the data lake project, especially on data storage, capacity, computational specs, and high availability/data redundancy set-up Stakeholder Management and Networking
- Supports the Technology and Risk team in ensuring that DM servers, cloud instances, applications, and systems meet policies and regulatory requirements
- Builds and deploys end to end data flows to ensure datamart automations on cloud and improve ease of accessibility of data for reporting / visualization, analysis and machine learning for data scientists
- Collaborates with vendors, partners, and regional counterparts to share best practices as well as implement joint initiatives on cloud and in premise data instances
- Develop in-house tools, ETL processes that are no available in the open-source repositories or in commercial solutions
- Supports and mentors the DCORO in the timely implementation and execution of action items relating to the RCSA, CET, CIMs, and IRs
- Recommends and drives the implementation of best practices so that DE solutions have the appropriate controls to manage operational risk
- Represents the Business and Strategy - Data and Reporting department in engagements AML, Compliance, Risk, and Audit, and collaborates within the team so that such engagements are brought to closure.
- Supports any data quality issues and any related/initiated activities
Qualifications:
- Graduate of BS in Computer Science, Industrial/Management Engineering, Computer Engineering, Information Technology, or any related field
- At least 3-5 years experience in data operations in cloud, database management, testing, quality and/or data governance
- Knowledgeable in ETL development on cloud platforms like AWS, Alibaba etc.
- Expertise in Database Management and optimization Cloud and In prem infrastructures (SQL, Hadoop, Hive)
- Experienced in documentation and data quality tools
- Knowledgeable on Business Intelligence Tools (Qlik, PowerBI, Tableau),
SQL(Must), Python, Bash/Shell scripting
- Stakeholder and project management
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