Cloud Data Engineer

About Us!

At Maven Wave, we are relentless in hiring the industry’s top talent. Each employee is hand-picked not only for their skills, but for their personality and broad expertise. We are looking for this rare combination of talent that sets us apart in the industry.

Founded in 2008, Maven Wave has experienced rapid growth. We combine the experience and knowledge of a management consulting firm with the innovation and technology expertise of a cloud services firm, providing a truly unique work environment. Employees have the opportunity to gain invaluable experience and make a significant impact on the business outcomes of our clients and our company.

Over the past years, Maven Wave has received the following awards and accolades:

  • Google Cloud North America Services Partner of the Year, 2018
  • #21 Best Workplaces in Chicago, FORTUNE, 2018 
  • Great Place To Work Certification, Great Place to Work, 2017 & 2018 
  • Fast Fifty, Crain's Chicago Business, 2014, 2015, 2016, 2017, 2018
  • 101 Best and Brightest Companies to Work For, National Association for Business Resources (NABR), 2014, 2015, 2016, 2017, 2018
  • Top Google Cloud Partner, Clutch, 2017
  • Fastest Growing Consulting Firms in North America (#11, #37), Consulting Magazine, 2016, 2017
  • Top IT Services Companies, Clutch, 2015
  • Google Global Rising Star Partner of the Year 2015

Maven Wave, Google, and YOU: help us build and deliver data driven cloud solutions.
We are looking for a skilled Big Data / Cloud Data Engineer to join our team. The ideal candidate has extensive experience building and implementing complex data solutions in the Cloud (AWS, Microsoft, and/or Google).  The primary job role will be designing, building, and testing data ingestion and ETL programs with a strong focus on performance and data quality management.  

Responsibilities:
  • Designing, building, and testing data ingestion and ETL programs from a variety of source systems (both unstructured and structured).  
  • Uncovering and recommending remediations for data quality anomalies.  
  • Investigating, recommending and implementing data ingestion and ETL performance improvements
  • Document data ingestion and ETL program designs, present findings, conduct peer code reviews
  • Develop and execute test plans to validate code
  • Work in a collaborative, agile environment
Requirements:
  • Bachelor's degree in a technical or quantitative field with preferred focus on Computer Science or Information Systems
  • 4+ years experience building complex ETL programs with one of the following Informatica, DataStage, Spark, Dataflow, etc
  • Expert in data extraction experience
  • 3+ years experience developing complex SQL
  • Experience using Cloud Storage and computing technologies such as BigQuery, RedShift, Snowflake
  • Experience configuring and developing big data solutions in a Cloud environment (AWS, Microsoft, or Google)
  • 3+ years experience programming in Python, and/or  Java
  • 3+ years with UNIX shell scripting
  • 2+ years experience with Git
  • 2+ years experience in data quality testing; adept at writing test cases and scripts, presenting and resolving data issues
  • 2+ years experience developing complex technical and ETL programs within a Hadoop ecosystem (Hadoop, YARN, Hive, Pig, Sqoop, Spark)
  • 2+ years implementing and programming data ingestion and ETL programs  with large datasets (10+ Terabyte analytical environment)
  • Experience with integration of data from multiple data sources
  • Experience developing and implementing streaming data ingestion solutions
  • 3+ years working with relational database technologies
  • 3+ years investigating, recommending and implementing solutions that resolve data quality issues
  • Demonstrated independent problem solving skills and ability to develop solutions to complex analytical/data-driven problems
  • Demonstrated experience developing data analytics solutions within AWS and/or Google Cloud Platform
  • Must be able to communicate complex issues in a crisp and concise fashion to multiple levels of management
  • Excellent interpersonal skills necessary to work effectively with colleagues at various levels of the organization

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