• The Data Engineer
• Mantas Lead is accountable for developing high quality data products to support the Bank’s regulatory requirements and data driven decision making. A Data Engineer will serve as an example to other team members, work closely with customers, and remove or escalate roadblocks. By applying their knowledge of data architecture standards, data warehousing, data structures, and business intelligence they will contribute to business outcomes on an agile team.

Responsibilities

• Developing and supporting scalable, extensible, and highly available data solutions
• Deliver on critical business priorities while ensuring alignment with the wider architectural vision
• Identify and help address potential risks in the data supply chain
• Follow and contribute to technical standards
• Design and develop analytical data models
• Collaborating with peers to drive simplification, standardization and incremental improvements
• Evaluate existing solutions for strengths and weaknesses (data quality, scalability, latency, security, performance, data integrity, etc.

Required Qualifications & Work Experience

• First Class Degree in Engineering/Technology (4-year graduate course)
• 12 to 14 years’ experience implementing enterprise data-intensive solutions using agile methodologies
• Experience of relational databases and using SQL for data querying, transformation and manipulation
• Translate Mantas (Oracle FCCM ) business needs (BRD) into effective technical solutions and documents (FRD/TSD)
• Utilize Mantas Data Miner/Scenario manager and any other necessary tools necessary for performing daily maintenance and project implementation for the Mantas AML program
• Experience of modelling data for analytical and reporting consumers
• Ability to automate and streamline the build, test and deployment of data pipelines
• Experience in cloud native technologies and patterns
• A passion for learning new technologies, and a desire for personal growth, through self-study, formal classes, or on-the-job training
• Excellent communication and problem-solving skills. Demonstrates a high degree of ownership in RCA and continuous improvement
• An inclination to mentor; an ability to lead and deliver components independently

Technical Skills (Must Have)

• Data Warehousing & Database Management: Expertise around Data Warehousing concepts, Relational (Oracle, MSSQL, MySQL) and NoSQL (MongoDB, DynamoDB) database design
• Mantas:

Expert in Oracle Mantas/FCCM, Scenario Manager, Scenario Development, Strong in Oracle Database, SQL, PLSQL, performance tuning, hands on experience in Mantas FSDM, DIS, Batch

• ETL:

Hands on experience of building data pipelines. Proficiency in two or more data integration platforms such as Ab Initio, Apache Spark, Talend and Informatica

• Languages: Proficient in one or more programming languages commonly used in data engineering such as Python, Java or Scala
• DevOps: Exposure to concepts and enablers
• CI/CD platforms, version control, automated quality control management
• Data Governance:

A strong grasp of principles and practice including data quality, security, privacy and compliance

Technical Skills (Valuable)

• Big Data: Experience of ‘big data’ platforms such as Hadoop, Hive or Snowflake for data storage, processing, reporting and/or analytical use
• Cloud: Exposure to public cloud data platforms such as S3, Snowflake, Redshift, Databricks, BigQuery, etc. Demonstratable understanding of underlying architectures and trade-offs
• Data Quality & Controls: Exposure to data validation, cleansing, enrichment and data controls
• Containerization: Fair understanding of containerization platforms like Docker, Kubernetes
• File Formats: Exposure in working on Event/File/Table Formats such as Avro, Parquet, Protobuf, Iceberg, Delta
• Others: Experience of using a Job scheduler e.g., Autosys. Exposure to Business Intelligence tools e.g., Tableau, Power BI

Certification on any one or more of the above topics would be an advantage.

Job Family Group:

Technology

Job Family:

Digital Software Engineering:

Time Type:

Full time

Most Relevant Skills

Please see the requirements listed above.

Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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