Job Description AgileEngine is one of the Inc. 5000 fastest-growing companies in the U and a top-3 ranked dev shop according to Clutch.
We create award-winning custom software solutions that help companies across 15+ industries change the lives of millions If you like a challenging environment where you're working with the best and are encouraged to learn and experiment every day, there's no better place - guaranteed!
:) What you will do Build data pipelines using NiFi (ETL flows) to connect different sources of data together; Build data reports and optimize SQL queries; Produce high-quality code; Identify performance bottlenecks; Communicate with Engineering & Product management; Align with existing development teams.
Must haves 3+ years of experience in software development; BS in Computer Science or equivalent practical experience; Strong analytical SQL knowledge; Practical experience building Data Warehouse(s) with Snowflake or other DW-oriented databases (Google BigQuery, Redshift, etc.
); Practical experience building ETL/ELT data pipelines from scratch or using existing tools like Apache NiFi; Practical experience with Python ; Amazon RDS experience; Working knowledge of Docker ; Upper-intermediate English level.
The benefits of joining us Professional growth Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
Competitive compensation We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.
A selection of exciting projects Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.
Flextime Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.
Requirements 3+ years of experience in software development; BS in Computer Science or equivalent practical experience; Strong analytical SQL knowledge; Practical experience building Data Warehouse(s) with Snowflake or other DW-oriented databases (Google BigQuery, Redshift, etc.
); Practical experience building ETL/ELT data pipelines from scratch or using existing tools like Apache NiFi; Practical experience with Python; Amazon RDS experience; Working knowledge of Docker; Upper-intermediate English level.