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Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and optimize scalable data ingestion pipelines for product telemetry and enterprise business applications data.
Develop and automate end-to-end data pipelines from source systems to Snowflake, ensuring reliability, scalability, and observability.
Monitor and optimize ingestion performance for large-scale, high-volume datasets using techniques like API rate-limit handling, micro-batching, incremental loading, and CDC.
Minimum Requirements
6+ years hands-on experience in data engineering and ingestion automation in cloud or hybrid environments.
Proficiency in Python, Fivetran (or similar ETL/ELT tools), Kafka, Spark, and S3/lakehouse architectures.
Experience with Snowflake including ingestion, transformation, and performance optimization.
Work Experience Required: Minimum 6 years in relevant data engineering roles.
Ideal Candidate Profile
Experienced in ingesting business application data such as CRM, ERP, financial, consumption, and renewals systems.
Skilled in applying DevOps/CI/CD practices to data pipelines for automation and deployment.
Able to work independently and deliver rapid solutions in fast-paced, iterative environments.