Cloud Data Engineer


Cloud Data Engineer


  • In this role you will be involved in the processing, cleansing, and verifying the integrity of data used for analysis, be able to create automated anomaly detection systems, track performance and carry out other ad-hoc analysis as required
  • Collecting data through means such as analyzing business results or by setting up and managing new studies
  • Transferring data into a new format to make it more appropriate for analysis (Oracle to Postgresql)
  • Creating new, experimental frameworks to collect data
  • Building tools to automate data collection
  • Creating reports and presentations for business uses
  • Correlating similar data to find actionable results
  • Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions
  • Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques
  • Develop custom data models and algorithms to apply to data sets
  • Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes
  • Coordinate with different functional teams to implement models and monitor outcomes
  • Develop processes and tools to monitor and analyze model performance and data accuracy
  • Assist in the development


  • Experience with Azure Data Factory to include the MS integration runtime configurations.
  • Experience with Oracle to Postgres DB migrations using Ora2Pg
  • Experience with Azure Managed Postgres
  • Experience with Azure DataLake V2
  • Experience with Azure Synapse Studio
  • Convert users and groups to Asure Postgres
  • Analytical curiosity, strong data-oriented skills and a statistical programming background
  • Possess a successful track record of designing and developing AI/ML algorithms for private or public sector solutions
  • Up-to-date with the latest technology trends, have a strong desire to constantly learn and be ready to put on the hacker's hat at any time to convert an idea into a demonstration
  • Highly detailed-oriented with exceptional organizational and follow-through skills
  • Self-starter and able to execute without a lot of direction or oversight
  • Exceptional communication skills, with an ability to make advanced analytics concepts accessible and understandable to non-technical business user
  • Value collaboration and urgency; and have a passion for driving impact

Skill Set Years of Experience Proficiency Level

  • Experience working on predictive analytics and data mining projects
  • 5+ Sr
  • Sound knowledge and experience of Cloud Computing working with Azure and AWS native services for data & AI. (Azure experience strongly preferred)
  • 5+ Sr
  • Hands-on experience working with Big Data technologies such as Spark, Cassandra, and/or Hadoop
  • 5+ Sr
  • Demonstrated proficiency with PowerBi
  • 5+ Sr
  • Hands-on experience using complex machine learning methods and algorithms At least 2 years of experience working with one or more data mining tools such as R, Python, Scala or SAS
  • 5+ Sr
  • Experience working as a part of an Agile team
  • 5+ Sr


  • Skill Set Years of Experience Proficiency Level
  • Self-directed and demonstrable problem-solving skills
  • 5+ Sr
  • Knowledge of modern software development techniques and methodologies
  • 5+ Sr
  • Knowledge and practice of secure software development processes
  • 5+ Sr
  • Ability to handle multiple priorities and deadlines
  • 5+ Sr
  • Minimum Education Required: Bachelors Degree
  • If ‘other’: Bachelor’s degree in mathematics, business, statistics, economics, computer science or information systems (or equivalent combination of skill and experience)

How to Apply:

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Location: Lafayette, LA
Date Posted: October 11, 2021
Application Deadline: November 11, 2021