Responsibilities
- Design, develop, and maintain end to end data solutions using open source, modern data lake, and enterprise data warehouse technologies (Hadoop, Spark, HBase, MapR, Cloudera)
- Contribute to multiple data solutions throughout their entire lifecycle (conception to launch)
- Partner with business stakeholders to understand and meet their data requirements
- Design, build, and maintain machine learning data pipelines
- Participate in an Agile development environment Cloud/AWS
- Collect, store, process, and support the analysis of huge sets of data, both structured and unstructured
- Choosing optimal solutions to use in big data use cases, then maintain, implement, monitor and integrate them with the data and IT architecture used across the company
- Build and teach the company about big data technologies, participate actively in the journey setup, from the discovery phase until the corporate data-centric transformation
Requirements
- Bachelor’s degree in Computer Science, Engineering, or Information Management (or equivalent)
- 5+ years of professional experience, preferred in development.
- 3+ years of building data pipelines experience or equivalent
- Professional experience optimizing machine learning workflows and maintaining data pipelines
- Hands-on experience with Cloudera and Hadoop is a must
- Experience with Spark , HBase , MapR and machine learning technologies is a plus
- Experience with object-oriented scripting languages: Python / Scala
- Experience with Eco-Systems Kafka, Impala and kudu is a must
- Advanced knowledge of SQL and experience with relational databases
- Experience with UNIX shell scripts and commands
- Experience with version control (Git / GitHub)
- Ability to clearly document operational procedures and solution designs
- Ability to communicate effectively (both verbal and written)
- Ability to work collaboratively in a team environment
- Ability to balance competing priorities and expectations.
Benefits
Why Integrant?
Competitive compensation package
PTO, full medical and dental coverage, etc.
Opportunity to travel and work onsite with U.S. customers
In-house Technical and English training programs
Dedicated learning time (check out our 4Plus1 Program) [link]
Interest free loans
Flexible work schedules
Perks: events, sponsored lunch, game area, rooftop hangout + more!