Data Engineer

Category:
Information Technology
Industry:
Oil & Gas
Type:
Contract
Location:
Houston, TX
Job ID:
#167966

On behalf of one of North America’s largest natural gas distributors, we are looking for a Data Engineer in Houston, TX

As a Data Engineer, you’ll help ingest, transform, and store clean and enriched data ready for business intelligence consumption.

 

Location: Houston, TX

Contract Duration: Until Nov 2021

Description:

  • 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, DataBricks, 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: DataBricks (Spark), ADF, Dataflow
  • Microsoft Azure
  • Stream-processing systems: Storm, Streaming-Analytics, IoT Hub, Event Hub
  • Object-oriented/object function scripting languages: Python, Scala, SQL

What you’ll do:

  • You’ll work independently on complex data engineering problems to support the 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

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