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
* collect, instrument and enhance data observability, reliability, and quality through platform and tooling development.
* build scalable solutions for data collection.
* validation, monitoring, and ingestion to ensure high-quality and well-managed data pipelines.
must haves
* 6+ years of hands-on experience developing data and feature engineering applications, including design, implementation, debugging, monitoring, and support.
* strong proficiency in python and java.
* aws services lambda, emr, sqs, sns, rds, s3.
* expertise in designing and implementing microservices architecture.
* solid understanding of backend fundamentals, including apis, data storage, and distributed systems.
* experience in building data platforms and tools that enable actionable insights and drive business decisions.
* proven ability to own and deliver end-to-end solutions, including troubleshooting and optimization.
* upper-intermediate english level.
nice to haves
* experience with kafka.
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.
next steps after you apply
the next steps of your journey will be shared via email within a few hours. Please check your inbox regularly and watch for updates from our internal applicant site, launchpod, which will guide you through the process.
requirements
* 6+ years of hands-on experience developing data and feature engineering applications, including design, implementation, debugging, monitoring, and support. - strong proficiency in python and java. - aws services lambda, emr, sqs, sns, rds, s3. - expertise in designing and implementing microservices architecture. - solid understanding of backend fundamentals, including apis, data storage, and distributed systems. - experience in building data platforms and tools that enable actionable insights and drive business decisions. - proven ability to own and deliver end-to-end solutions, including troubleshooting and optimization. - upper-intermediate english level.
1. nivel de antigüedad
intermedio
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