Senior Data Engineer

Company Description

About DataArt

Founded in 1997, DataArt is a global software engineering firm and a trusted technology collaborator for market leaders and visionaries. Guided by the People-first principle, our world-class team designs and engineers data-driven, cloud-native solutions that foster progress and deliver immediate and enduring business value.

• 5700 professionals
• 20+ countries
• 30+ locations
• 87% employee retention
• 31% women
• 48% senior-level professionals
• 34% of new colleagues join us through recommendations.
• Glassdoor review score — 4.6

We respect the autonomy of others before all else, offering remote, onsite, and hybrid work options. Our Learning and development centers, R&D labs, and mentorship programs encourage professional growth. We build a diverse community that attracts—and retains—the best talent worldwide.

Job Description

Are you ready to embark on a thrilling data adventure? Buckle up, because we're about to take you on a wild ride through the world of big data!

• Become the master of NiFi flows! You'll be creating and updating pipelines like a digital wizard, managing a colossal NiFi environment that'll make your head spin (in a good way, of course).
• Tame the Hive and wrangle Impala in our Cloudera Data Platform jungle. Your table management skills will be put to the test in this data safari!
• Join our band of merry architects as we build the future of data processing. You'll be jamming with NiFi, Kafka, and other cool cats in our tech orchestra.
• Put on your detective hat and dive into data analysis. You'll be uncovering insights faster than you can say "Eureka!"
• Become a Scrum superhero! You'll leap tall backlogs in a single bound and sprint through ceremonies with the agility of a data ninja.
• Channel your inner polyglot and become the ultimate translator between BAs and bits. Your ability to speak both business and data will make you the life of the tech party!

Get ready to have a blast while pushing the boundaries of data engineering. It's not just a job - it's a data-driven adventure!

Qualifications

• Experience with cloud technologies as a Data Engineer
• Technical expertise with Big Data tools and methodologies
• Experience working with Apache Kafka; - Experience working with Hive and Impala
• Skills working with Airflow
• Experience working with Hadoop ecosystem (CDP/Cloudera Data Platform)
• Hands-on experience with Data Ingestion
• Proficiency in SQL/PostgreSQL

Additional Information

What are the benefits  

• You'll get paid a competitive salary & be working directly with a super-experienced team of people.  
• You'll get a great place to come to work every day. Varied, complex, challenging & with a great culture that you can shape & change. 
• Health Insurance
• Unlimited Learning & Education Support
• Vacations