Digital Software Engineering Analyst

• 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

• First Class Degree in Engineering/Technology (4-year graduate course)
• 5 to 8 years’ experience implementing data-intensive solutions using agile methodologies
• Experience of relational databases and using SQL for data querying, transformation and manipulation
• Experience of modelling data for analytical 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

• Ab Initio: Experience developing Co>Op graphs
• ability to tune for performance. Demonstrable knowledge across full suite of Ab Initio toolsets e.g., GDE, Express>IT, Data Profiler and Conduct>IT, Control>Center, Continuous>Flows
• Cloud: Good exposure to public cloud data platforms such as S3, Snowflake, Redshift, Databricks, BigQuery, etc.
• 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: Basics of Job scheduler like Autosys. Basics of Entitlement management
• Certification on any of the above topics would be an advantage

Global benefits designed to support well-being, growth and work-life balance