Job Description :
Data Engineer
Houston TX, Charlotte NC
Contract
Job Description :
Responsibilites :
You ll work independently on complex data engineering problems to support data science strategy of products
You ll use broad and deep technical knowledge in the data engineering space to tackle complex data problems for product teams, with a core focus on using technical expertise
You ll improve the data availability by acting as a liaison between Lab teams and source systems
You ll collect, blend, and transform data using ETL tools, database management system tools, and code development
You ll implement data models and structures data in ready-for business consumption formats
You ll aggregate data across various warehousing models (e.g. OLAP cubes, star schemas, etc for BI purposes
You ll collaborate with business teams and understand how data needs to be structured for consumption
Required Skills :
You ll have experience in a Data Engineer role (5+ years), with a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field
You build and maintain optimal data pipeline architecture.
You assemble large, complex data sets that meet functional / non-functional business requirements.
You identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, data quality checks, minimize Cloud cost, etc.
You build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Data Bricks, No-SQL
You build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
You document and communicate standard methods and tools used.
You work with other data engineers, data ingestion specialists, and experts across the company to consolidate methods and tool standards where practical.
You re experienced using the following software/tools:
Big data tools: Hadoop, HDI, & Spark
Relational SQL and NoSQL databases, including COSMOS
Data pipeline and workflow management tools: Data Bricks (Spark), ADF, Dataflow
Microsoft Azure
Stream-processing systems: Storm, Streaming-Analytics, IoT Hub, Event Hub
Object-oriented/object function scripting languages: Python, Scala, SQL