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
  
  

• 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
  
  

• Experience with low-latency data platforms
• Knowledge of Data Governance frameworks
• Exposure to Financial Services / Blockchain domain
  
  

• Strong ownership and accountability
• Good communication and stakeholder engagement skills
• Proactive mindset with ability to learn and take responsibility