$80K - $100K(Ladders Estimates)
About the job
Working in Data Engineering, you use modern data engineering techniques and Advanced Analytics methods to give your clients the information they need. You collect, aggregate, store and reconcile data from multiple sources, helping to design and build data pipelines, streams, reporting tools, data generators and a whole range of tools to provide information and insight. You know how to read the patterns and trends that influence business outcomes.
Day to day, you will:
Give colleagues and clients the tools to find and use data for routine and non-routine analysis
Use your sound business acumen to translate business requirements into technical solutions
Analyze current business practices, processes and procedures to spot future opportunities
Assess client needs to create bespoke data design services
Create the building blocks for transforming enterprise data solutions
Design and build modern data pipelines, data streams, and data service Application Programming Interfaces (APIs)
Create the architectures, data warehouses and databases that support access and Advanced Analytics, and bring them to life through modern visualization tools
Implement effective metrics and monitoring
Be comfortable to make your own decisions and guide your colleagues
Travel as needed.
You're an organized problem-solver with a talent for business, whose knowledge and experience helps turn business needs into solutions. You guide and support your team, whether at home or around the world, to provide successful and accessible data analytics that solve real-world problems.
Your skills and experience include:
Transforming business needs into technical solutions
Mapping data and analytics
Data profiling, cataloguing and mapping to enable the design and build of technical data flows
Use proven methods to solve business problems using Azure Data and Analytics services in combination with building data pipelines, data streams and system integration
Sound knowledge of .NET C# and T-SQL, and familiarity with U-SQL
Knowledge of multiple Azure data applications
Experience in preparing data for and building pipelines and architecture.
You probably have a Master's degree or PhD in a quantitative field such as computer science, applied mathematics, statistics or machine learning – or an equivalent combination of education and experience. You're likely to be a Microsoft Certified Application Developer, Solutions Developer and/or Database Administrator already, and you will have relevant professional experience of at least five years.
Eligibility to obtain Federal Reliability Security clearance
Valid Through: 2019-10-31