Snowflake Data Engineer
Required skills
Proven experience in data engineering and pipeline development on Snowflake and cloud-native platforms. Strong consulting values with ability to collaborate effectively in client-facing environments. Hands-on expertise across the data lifecycle: ingestion, transformation, modelling, governance, and consumption. Strong problem-solving, analytical, and communication skills. Experience leading or mentoring teams of engineers to deliver high-quality scalable data solutions.
Preferred skills
Snowflake certifications (SnowPro Core, Advanced) highly desirable. Exposure to AI/ML workloads desirable.
Technologies
Snowflake, DBT, Matillion, Talend, SQL, Python, AWS, Azure, GCP, Spark, Hadoop, GitHub, Bitbucket, CI/CD pipelines.
Responsibilities
Client Engagement & Delivery, Data Pipeline Development (Batch and Streaming), Snowflake & Cloud Data Platforms, Data Architecture & Modelling, Collaboration & Best Practices, Quality, Governance & Security.
Seniority
Minimum 5–8 years in data engineering, data warehousing, or data architecture roles, with at least 3+ years working with Snowflake.
Domain
Data & AI practice, data-driven decision making, advanced analytics, AI capabilities.