About the role
Job Description
We are looking for experienced Data Engineering Consultants with strong Snowflake and Data Warehousing expertise to support our ongoing data platform initiatives.
Key Responsibilities
· Independently drive & lead end-to-end data engineering deliverables with minimal guidance.
· Design and implement scalable data architectures and pipelines, data integration solutions
· Collaborate with stakeholders to understand requirements and deliver technical solutions
· Provide production support, ensuring timely resolution of incidents, problems, and changes
· Ensure data quality and consistency across systems
· Work with Product teams to refine and prioritize backlog
· Follow ITIL processes for Incident, Change, and Problem Management
Mandatory Skills
· 6+ years of experience in Data Engineering / Database Engineering
· 4+ years of hands-on Snowflake experience preferred. Strong SQL developers with solid data engineering/modelling experience and an interest in learning Snowflake
· Strong expertise in Snowflake features (Streams, Snowpipe, Tasks, Snowpark etc.)
· Solid understanding of data warehousing concepts (dimensional modeling, star/snowflake schema)
· Strong SQL and relational database knowledge
· Experience with data pipelines and integration (Knowledge in ADO, GitHub, Liquibase is good)
· Experience in Agile/Scrum and CI/CD environments
· Exposure to Kafka or similar streaming tools
Good to Have
· Experience with low-latency data platforms
· Knowledge of Data Governance frameworks
· Exposure to Financial Services / Blockchain domain
Expectations
· Strong ownership and accountability
· Good communication and stakeholder engagement skills
· Proactive mindset with ability to learn and take responsibility