Data Engineer

About the Position

We are seeking a skilled Data Engineer with 4+ years of experience in Spark and Scala to work with a global leader in IP intelligence and fraud detection. The USA-based company provides global geolocation data and services worldwide.

Responsibilities

• Working productively within an AGILE team environment
• Assisting in planning and prioritizing jobs as part of the development team
• Designing and developing product applications
• Building data systems
• Writing, testing, and debugging code for new and existing software products
• Responding promptly to bug reports and production issues
• Developing tools and applications by producing clean, efficient code
• Reviewing and debugging code
• Collaborating with internal teams to fix and improve products
• Documenting code and assisting in testing and QA of systems
• Ensuring software is up-to-date with the latest technologies

Requirements

• 4+ years of Spark and Scala experience
• Experience working with huge databases and batch processing datasets with billions of records
• Experience with building and writing software from scratch (full SDLC)
• Experience with Big Data using Spark and Scala
• Real-time streaming with Kinesis, Kafka, or similar services
• 3+ years working with SQL and relational databases
• 3+ years working in Amazon Web Services (AWS) or similar cloud providers
• A self-motivated learner who is willing to self-teach
• Self-starter who can maintain a team-centered outlook
• GIS/Geospatial tools/analysis experience working with geolocation data

Opportunities

• Possibility to work in a recognized worldwide leader company
• Career and professional growth
• Competitive Salary
• Exposure to cutting-edge AWS technologies
• Long-term employment & 20 working-days paid holidays

We Offer

• Up to $6000 salary
• Remote work options

About the Company

The company is a global leader in IP intelligence and fraud detection, providing geolocation data and services worldwide.