Mantas Scenario Developer

The Data Engineer is responsible for developing high-quality data products to meet the Banks regulatory requirements and support data-driven decision making. As a Mantas Scenario Developer, you will set an example for other team members, collaborate closely with customers, and address any roadblocks that may arise. Your expertise in data architecture standards, data warehousing, data structures, and business intelligence will play a key role in contributing to business outcomes within an agile team. Your responsibilities will include developing and supporting scalable, extensible, and highly available data solutions, ensuring alignment with the wider architectural vision, identifying and mitigating risks in the data supply chain, adhering to technical standards, and designing analytical data models. To excel in this role, you should possess a First-Class Degree in Engineering/Technology along with 5 to 8 years of experience in implementing data-intensive solutions using agile methodologies. Proficiency in relational databases, SQL for data querying, data modeling for analytical consumers, and hands-on experience with Mantas throughout the full development life cycle are essential. You should also be able to translate business needs into technical solutions, automate data pipelines, and have a passion for learning new technologies. Key Technical Skills Required: - ETL: Proficiency in building data pipelines using platforms like Ab Initio, Apache Spark, Talend, or Informatica - Mantas: Expertise in Oracle Mantas/FCCM, Scenario Manager, Scenario Development, and FSDM - Big Data: Experience with platforms such as Hadoop, Hive, or Snowflake - Data Warehousing & Database Management: Understanding of Data Warehousing concepts and relational & NoSQL database design - Data Modeling & Design: Exposure to data modeling techniques and maintenance of data models - Languages: Proficiency in Python, Java, or Scala - DevOps: Exposure to CI/CD platforms, version control, and automated quality control management Additional Valuable Technical Skills: - Ab Initio: Experience in developing Co>Op graphs and tuning for performance - Cloud: Exposure to public cloud data platforms like S3, Snowflake, or Redshift - Data Quality & Controls: Familiarity with data validation, cleansing, enrichment, and data controls - Containerization: Understanding of containerization platforms like Docker, Kubernetes - File Formats: Working knowledge of Event/File/Table Formats such as Avro, Parquet, or Protobuf - Others: Basics of Job scheduler like Autosys and Entitlement management Certifications in any of the above topics would be advantageous. Join us as a Data Engineer to leverage your technical skills and contribute to the development of innovative data solutions that drive business success.,