Data Engineer

Work closely with business stakeholders, data analysts, and data scientists within the organization developing software solutions helping to deliver insights into customer and network behavior that drive business decisions shaping the future of Intl SOS. Collaborate with many cross functional teams on the planning, execution, and successful completion of technical projects with the ultimate purpose of improving customer experience. Build and maintain batch and real-time data flows used for business intelligence, analytics, and machine learning within all organizations across Intl SOS. Store and expose data via a Database, Data Lake, and other APIs. Develop data extraction and integration code modules for batch and incremental data flow from various data sources using new and existing patterns. Use existing tools and processes to deploy to integration and production environments. Maintain the health of the data ecosystem by configuring monitors, defining alerts on common failure points and giving feedback on data quality to data owners and business partners. Test software, validate data and write automated tests (unit, integration, functional, etc.). Review peer code and submit thorough and actionable feedback based on team standards and industry best practices. Triage and resolve production issues. Implement systems to balance data volume, latency and customer requirements. Produce high quality code that is robust, efficient, testable and easy to maintain. Deliver operational automation and tooling to minimize repeated manual tasks. Influence product roadmap and help cross-functional teams to identify data opportunities to drive impact. Join rotation to support production workflows during off hours. Use machine learning to build statistical modelling to solve business problems.

Position requires : Master's degree in Computer Science, Statistics, Informatics, Information Systems or related field, plus 3 years of experience as data engineer, software engineer or a related role. Experience must include: one year in: Data Lake, PySpark, Machine Learning, and three Years in AWS, Python, Athena, Red Shift, EMR, Glue, ECS, RDS, Python in a data engineering context, Panda, MS SQL, workflow orchestration concepts, Windows, Linux, and container-based deployment environments, Workflow performance, scaling. Experience may have been gained concurrently.

Travel up to 0%- 5%, domestic and international. Job may be performed remotely up to two days per week.

The offered salary for this position is $140,150.00 per year. To apply, send resumes to [email protected], ref: DE.