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Protocol Intelligence

Data-driven signals on your job's competitiveness

CV Match Score

Estimated fit based on your resume

Structured overview of role & requirements

Direct Career PageEst. 14–22 LPA

Posted 16h ago

Against your primary resume

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Role Fit

Experience

Industry Relevance

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Data-driven signals on your job's competitiveness

Competition Intensity

(Moderate)

Background Fit Sensitivity

(Low)

Shortlisting Strictness

(Moderate)

Structured overview of role & requirements

Design, develop, and maintain scalable batch and/or near-real-time data pipelines using Snowflake, Python, dbt, and Astronomer/Airflow.

Build and optimize ELT workflows, data transformation models, and Snowflake data models to support analytics and reporting workloads.

Orchestrate, schedule, monitor, and troubleshoot data workflows with a focus on data quality, governance, security, and operational reliability.

Hands-on experience with data engineering, ETL/ELT development, data warehousing, and pipeline orchestration.

Proficiency in Python and SQL for data ingestion, transformation, automation, validation, and troubleshooting.

Experience with Snowflake data modeling, query optimization, warehouse management, and secure access patterns.

Work Experience Required: Not explicitly mentioned in the JD.

Experienced in building and optimizing modular data transformations using dbt with testing and deployment workflows.

Skilled in DAG design, workflow scheduling, retries, alerting, and production support using Astronomer/Airflow.

Capable of collaborating across product, business, analytics, architecture, and platform teams to deliver trusted data products.