Data Engineer

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