Sr. Data EngineerLocation : Chicago, IL - Onsite 3 days per weekSalary : $120K - $140KCompany SummaryThe world's most trusted satellite telecom network. They focus on inflight internet access.Elevator PitchIntelsat Inflight, the inflight internet company. They believe the internet should do everything it does on the ground, in the sky. Their worldwide inflight Wi-Fi services have made internet and video entertainment a regular part of flying. They are a diverse and mission-minded group of professionals all working together in extraordinary harmony. They connect the aviation industry and air travelers with innovative technology and applications, and they do it all in a high-energy environment that welcomes the next challenge. Be prepared to join a performance-obsessed team that is passionate about bringing the internet to every device, every flight, everywhere.Responsibilities:Utilizes a rigorous design methodology that consistently yields the right level of technical design documentation and develops technical solutions that conform both to customer requirements and information development standards.Be a thought leader in the Agile team to collaborate and to help shape requirements and development.Works as equals with Data Engineers, Quality Engineers, BI Developers and Business Analysts to establish optimal design/development/delivery which properly serves technical teams and our user community. Identifies risks, tradeoffs, and investment decisions to facilitate best practices.Design and develop complex, large scale data structures and pipelines to organize, collect and standardize data to generate insights and address analytical/reporting needsManage code versions and deployment process in source control and coordinate changes across team.Partner with Product Management and Operation teams to proactively identify monitoring gaps and improving upstream data collection and advocating for data driven thinking.Assist in running code reviews, guide team to follow standards, supporting team members in brainstorming and challenging designs.Solve and help other team members complex data issues around data integration of structured and unstructured sets other data processing incidents.Requirements:6 years of experience with Data Engineering and/or cloud-based servicesExperience with AWS EMR, EC2, S3, Kinesis, Lambda, DynamoDB, SNS, SQS, Glue, Athena, RedshiftMore experience the better (Make sure to ask which technology they worked with)Experience with large scale data lake and data warehouse implementations in cloud environmentsMust have experience with either Python, Java, or ScalaExperience with SparkNice to have's:CI/CD experience - primarily using JenkinsExperience with Tableau, Power BI, or similar data visualization toolsExperience in airline / aviation, internet, or telecommunications#J-18808-Ljbffr

by Jobble