Participate in the design, development, and maintenance of a scalable Snowflake data solution serving our enterprise data & analytics team
Implement data pipelines, ETL/ELT workflows, and data warehouse solutions using Snowflake and related technologies
Optimize Snowflake database performance
Collaborate with cross-functional teams of data analysts, business analysts, data scientists, and software engineers, to define and implement data solutions
Ensure data quality, integrity, and governance
Troubleshoot and resolve data-related issues, ensuring high availability and performance of the data platform
Requirements
Bachelor's or Master's degree in Computer Science, Information Systems, or a related field
4+ years of experience in-depth data engineering, with at least 1+ minimum year(s) of dedicated experience engineering solutions in an enterprise scale Snowflake environment
Tactical expertise in ANSI SQL, performance tuning, and data modeling techniques
Strong experience with cloud platforms (preference to Azure) and their data services
Experience in ETL/ELT development using tools such as Azure Data Factory, dbt, Matillion, Talend, or Fivetran
Hands-on experience with scripting languages like Python for data processing
Snowflake SnowPro certification; preference to the engineering course path
Experience with CI/CD pipelines, DevOps practices, and Infrastructure as Code (IaC)
Knowledge of streaming data processing frameworks such as Apache Kafka or Spark Streaming
Familiarity with BI and visualization tools such as PowerBI
Benefits
Ventra performance-based incentive plan
Referral bonus
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
SnowflakeETLELTANSI SQLdata modelingdata processingPythonCI/CDDevOpsInfrastructure as Code