Work within an Agile cross‑functional team to design, develop, and maintain data ingestion flows and evolve the platform to orchestrate them
Design and implement data pipelines, framework, and ETL processes
Ensure data quality, security, and performance
Develop and optimize SQL queries, stored procedures, and views
Integrate Snowflake with other data sources and BI tools
Monitor and troubleshoot data jobs and platform issues
Develop and maintain comprehensive documentation for data pipelines, transformations, and data models

Requirements

5 years of experience with Big Data technologies used for ETL: Hadoop, Spark, Hive
Strong SQL skills and knowledge of data modeling
Programming experience with API development
Familiarity with any cloud platform, preferably AWS
Knowledge of GenAI to generate code and improve developer proficiency
Self-driven with excellent problem-solving and communication skills
Knowledge of SCM, Infrastructure-as-Code, and CI/CD pipelines

Benefits

Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade
Company paid holidays
Personal Days
Sick Leave
Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
Life and disability insurance
Employee assistance programs
Other benefits as provided by local policy and eligibility

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

ETLSQLHadoopSparkHiveAPI developmentdata modelingdata pipelinesdata ingestiondata transformations

Soft Skills

problem-solvingcommunicationself-driven