Job Description This is a remote position and we are hiring candidates from the whole country.
AgileEngine is one of the Inc. 5000 fastest-growing companies in the US 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!
:) Must Haves BSc.
in Computer Sciences from a top university, or equivalent; 5+ years in data engineering, and data pipeline development in high-volume production environments; 2+ years experience with Java; 2+ years experience with monitoring systems (Prometheus, Grafana, Zabbix, Datadog); Ability to develop, design, and maintain end-to-end ETL workflows, including data ingestion and transformation logic, involving different data sources; Experience with data-engineering cloud technologies such as: Apache Airflow, K8S, Clickhouse, Snowflake, Redis and cache technologies; Experience with relational and non-relational DBs; Proficient inSQL and queries optimizations; Experience with designing infrastructure to maintain high availability SLAs; Experience with monitoring and managing production environments; 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 BSc.
in Computer Sciences from a top university, or equivalent; 5+ years in data engineering, and data pipeline development in high-volume production environments; 2+ years experience with Java; 2+ years experience with monitoring systems (Prometheus, Grafana, Zabbix, Datadog); Ability to develop, design, and maintain end-to-end ETL workflows, including data ingestion and transformation logic, involving different data sources; Experience with data-engineering cloud technologies such as: Apache Airflow, K8S, Clickhouse, Snowflake, Redis and cache technologies; Experience with relational and non-relational DBs; Proficient inSQL and queries optimizations; Experience with designing infrastructure to maintain high availability SLAs; Experience with monitoring and managing production environments; Upper-intermediate English level.
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