Data Engineer

Role Description
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

Work arrangement
No