Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Popular mid-level Data Engineer title, 4–6 year band, and Pune metro location increase candidate competition.
Core data engineering skills (Snowflake, dbt, Airflow, Python) are broadly transferable across industries, so low sensitivity.
Explicit 4–6 years requirement plus mandatory Snowflake, dbt, Airflow, and data modeling skills create strict filters.
Translate complex business analytical requirements into reliable and scalable data products using Snowflake, dbt, and Airflow.
Design, build, and maintain dimensional and analytical data models in Snowflake with dbt following best practices for performance and data quality.
Build, manage, and orchestrate end-to-end data pipelines ensuring reliability, observability, and SLA adherence, collaborating with cross-functional teams for delivery and integration.
4–6 years of experience in data engineering, analytics engineering, or similar roles.
Proficiency with Snowflake and dbt for data modeling and transformation, including advanced SQL skills.
Experience authoring and managing production Airflow DAGs for complex data workflows.
Bachelor's degree in Computer Science, Engineering, Statistics, or related field.
Able to translate stakeholder analytical problems into well-structured data models with strong business acumen.
Experienced in software engineering practices for data code: version control, peer review, testing, and documentation.
Skilled in dimensional modeling concepts (star schema, slowly changing dimensions) and optimizing data solutions for performance and flexibility.