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