Azure Data Engineer

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Data Engineer

1-2 year contract

Atlanta, GA or Naperville, IL (mostly remote though)

Please provide a short summary job description – provide just the highlights?

The Data Engineer, Analytics will work with stakeholders – both business and IT to review functional and non-functional requirements, design, develop and support business and artificial intelligence solutions involving Big Data and Microsoft Azure technologies that align with and support the business and Technology Organization strategy and standards. Additionally, this position will be responsible for management and alignment of solutions across all technology platforms working closely with Architects, data and infrastructure teams to optimize application code, ensuring data integrity, security, stability, resiliency, sustainability, growth and performance.

This position will be focused on supporting existing data integration and analytics solutions as well as designing and developing new solutions.  Additionally, the Data Engineer is expected to participate in knowledge sharing and own technical issue resolution.

 

What caused the job opening? Demand/Project/Support

 

What does the day to day look like?

Attend requirements sessions, create and review functional and technical designs, develop the designed solution, optimize performance, support test efforts, plan and execute deployments as well as resolve technical issues. Additionally, assist the Analytics team with impact analysis, effort estimates, support planning and participate in after-hours production support call out rotation.

 

How will the contractor be using their technical skills?

To design, develop, test and deploy hybrid data engineering and analytics solutions using on-premises and cloud-based tools as well as support them.

 

Is telecommuting an option?   Partial, yes  There will be times when coming to the office may be necessary.

 

Is travel required? Yes, occasionally to attend in-person workshops

 

What is your anticipated hire date? Immediately

 

Job Description:

The Data Engineer, Analytics will work with stakeholders – both business and IT to review functional and non-functional requirements, design, develop and support business and artificial intelligence solutions involving Big Data and Microsoft Azure technologies that align with and support the business and Technology Organization strategy and standards.

This position will be focused on supporting existing data integration and analytics solutions as well as designing and developing new solutions.  Additionally, the Data Engineer is expected to participate in knowledge sharing and own technical issue resolution.

 

SKILLS:

  • 8+ years hands-on experience with full life-cycle implementation and support of DW/BI solutions.
  • 5+ years hands on experience designing, developing, testing, deploying and supporting data engineering and analytics solutions using on-premises tools such as, MSBI (SSIS/SSAS), Informatica, Oracle Golden Gate, SQL, Oracle and SQL Server.
  • 3+ years hands on experience designing, developing, testing, deploying and supporting data engineering and analytics solutions using Microsoft cloud-based tools such as Azure Data Lake, Azure Data Factory, Azure Databricks, Python, Azure Synapse, Azure Key Vault and Power BI.
  • Experience in creating functional and technical designs for data engineering and analytics solutions.
  • Experience to implement data models of different schemas and working with diverse data source types.
  • Hands-on experience developing solutions with big data technologies such as Hadoop, HIVE and Spark.
  • Hands-on experience developing and supporting Python based AI/ML solutions.
  • Hands-on experience developing automation solutions using tools such as Autosys.
  • Experience with Containerization methodologies – Docker, OpenShift etc.,
  • Experience with Agile as well as DevOps, CI/CD methodologies
  • Experience with designing re-usable solution components and perform code-reviews.
  • Experience working in a medium to large enterprise setting and collaborating with multiple cross-functional teams
  • Experience working on concurrent assignments on multiple projects.

What are the nice to have skills?

  • Microsoft Azure Data Engineer Certification
  • Experience in Utilities, Preferably Gas
  • Experience in Data Governance processes and tools such as Informatica Data Catalog
  • Experience in Data Quality processes and tools such as DQS
  • Hands-on experience designing and developing solutions involving data sourcing, enrichment and delivery using APIs & Web Services.
  • Experience with Agile methodology and tools such as JIRA

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