Data Engineer

data engineer, big data, pipeline
Full Time
Depends on Experience
Work from home not available Travel not required

Job Description

This is Amit with Spectraforce Technologies. Spectraforce Technologies is a certified MBE specializing in global contract staffing and payrolling. Spectraforce is an equal opportunity employer, which is a global staffing, consulting and technology solutions company, offering industry-specific solutions to our fortune 500 clients and worldwide corporations.

We have opening of Data Engineer for one of our clients in Houston, Texas 77056.

Job description

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


  • 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.


  • 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


  • 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

For immediate consideration, please send resume to Amit Kumar at OR Feel free to contact us at 316.

Posted By

Amit Kumar

500 W. Peace St. Raleigh, NC, 27603

Dice Id : 10119021
Position Id : 6193991
Originally Posted : 2 months ago
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