– Collaborate with Full Stack Engineering team to meet CI/CD requirements and ensure smooth deployment of Data Engineering components. Contribute in Data Model design, including lineage, cataloguing and monitoring

– Ensure that system designs align with solution architecture design (i.e. high level conceptual design) and are traceable to functional as well as non-functional requirements in projects/enhancements

– Ensure designs produced align with architectural roadmap and support the development, execution and operations of solutions

– Ensure system design standards are defined to improve and sustain standardization of solutions. Ensure that solutions meet requirements outlined in the architecture handbook

– Support scoping, fit-gap workshops for projects/enhancements, propose solutions for key gaps, provide effort estimations and alignment with business teams. Ensure that project/enhancements work is delivered to agreed time, cost and quality constraints following the release calendars.

Minimum requirements
What you ll bring to the role:

– Education: University degree in Information Systems or comparable education, experience or equivalent. Languages: English fluent spoken and written. Further languages preferred

– Experience : 3+ years IT experience, 2+ years Analytics / Big Data experience, proven skills experience in solution design and / or architecture

– Hands on experience for implementation in Spark (either scala or python), Databricks, EMR platform. Experience in AWS services S3, Glue, Athena, Lamdba, Redshift is preferred. Knowledge in Snowflake, Matillion, Graph database is added advantage.

– Experience in working in an Analytics / Big Data environment. Experience with code management tools, CI/CD, automated testing

– Good level of expertise in Advanced Analytics Technologies. Good knowledge of applications in a Big Data environment.