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Job Description
Structured overview of role & requirementsAbout This Role
Lead design and development of scalable data pipelines focusing on ETL, data integration, and transformation.
Architect and maintain cloud-based data warehouses, data lakes, and marts primarily on Snowflake.
Mentor junior engineers and collaborate with analysts, scientists, and stakeholders to align data solutions with business goals.
Minimum Requirements
Bachelor's or master's degree in Computer Science, Data Science, or related field.
8+ years of experience in data engineering.
Strong expertise in Snowflake, ETL tools like Fivetran, and data transformation/orchestration using dbt.
Proficiency in SQL, database design, and programming in Python, Java, or similar languages.
Ideal Candidate Profile
Experienced in leading end-to-end data pipeline architecture and cloud data platforms, especially Snowflake.
Capable of mentoring technical teams and collaborating cross-functionally with business stakeholders.
Hands-on expertise in ETL orchestration, data modeling, and implementing scalable data solutions aligned to strategic business needs.