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Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and maintain scalable ETL/ELT data pipelines integrating multiple sources into Snowflake.
Optimize Snowflake data warehouse architecture and performance for analytics and dashboarding.
Collaborate with analysts and business teams to ensure clean, reliable, and accessible data for decision-making.
Minimum Requirements
3-4+ years of data engineering experience, preferably in a fast-paced startup environment.
Strong expertise with Snowflake, including warehouse optimization and SQL performance tuning.
Proficiency in SQL and Python for data transformation and automation.
Hands-on experience with ETL/ELT tools and frameworks (dbt preferred) and data modelling for BI tools.
Ideal Candidate Profile
Experienced in optimizing data warehouses for analytics and reporting.
Comfortable working in a dynamic startup environment collaborating across teams.
Skilled at building reliable, monitored data pipelines and improving data workflow efficiency.