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