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Referenz: a0M1i00000HlevYEAR_1655732352

AWS Big Data Architect @ AWS Advanced Consulting Partner

USA, Illinois, Chicago

  • 160000 to 200000 USD
  • Engineer Stelle
  • Fähigkeiten: AWS, Glue, Snowflake, Lambda, Redshift, S3, Data, Big Data
  • Seniority: Senior

Jobbeschreibung

Position: AWS Big Data Architect

Location: Remote

Salary Range: $160K - $200K Base + Benefits/Annual Bonus

Our client, an AWS Advanced Consulting Partner, is currently in search of an AWS Big Data Architect to come on board and hit the ground running! The ideal candidate should possess hands-on AWS experience, and more specifically, a familiarity with Glue, S3, Redshift, Lambda, ETL, etc. Top-notch communication skills will be a major key for this role as a consultative mindset and approach is required.

Key Skills & Requirements:

- Strong ETL experience, presumably with Glue
- Experience with Snowflake, S3, Redshift, Lambda
- Unparalleled communication skills as a consultative approach both internally and externally will be needed
- Previous experience with either Terraform or CloudFormation a plus

About Our Client:

- Can't-miss opportunity to join an AWS Advanced Consulting Partner
- Opportunity to work with cutting-edge technology on a daily basis

PLEASE READ!!!

1. If truly interested in applying for this position, please email your CV/Resume directly to j.nocco@jeffersonfrank.com.

* Subject: "Interested Candidate Submission: Big Data Engineer / Full Name"

2. No third-party recruiters or agency submissions will be accepted!

Referenz: a0M1i00000HlevYEAR_1655214598

Senior AWS Data Engineer / AWS Big Data Architect

USA, Illinois, Chicago

  • 160000 to 200000 USD
  • Engineer Stelle
  • Fähigkeiten: AWS, Glue, Lambda, ETL, Redshift, Snowflake, Big Data
  • Seniority: Senior

Jobbeschreibung

Position: AWS Senior Data Engineer or Big Data Architect

Location: Remote

Salary Range: $160K - $200K (BENEFITS & BONUS ELIGIBLE)

Our client, an AWS Advanced Consulting Partner, is currently in search of an AWS Senior Data Engineer or Big Data Architect to come on board and hit the ground running! The ideal candidate should possess hands-on AWS experience, and more specifically, a familiarity with Glue, Redshift, Lambda, etc. in addition to extensive experience with Snowflake, ETL and other data/Big Data-related tools/services. Top-notch communication skills are a major key for this role as a consultative mindset is required.

Key Skills & Requirements:

* Strong ETL experience, presumably with AWS or Azure
* Experience with Glue, Redshift, Lambda, S3, etc. required
* Experience with Snowflake a must
* Unparalleled communication skills as a consultative approach both internally and externally will be needed
* Previous experience with Terraform a plus

About Our Client:

* Can't-miss opportunity to join an AWS Advanced Consulting Partner
* Opportunity to work with cutting-edge technology on a daily basis

PLEASE READ!!!

1. If truly interested in applying for this position, please email your CV/Resume directly to j.nocco@jeffersonfrank.com.

* Subject: "Interested Candidate Submission: AWS Senior Data Engineer / Full Name"

2. No third-party recruiters or agency submissions will be accepted!

Referenz: qwdnqkowdh11_1656016008

Manager of Azure Data Engineer-SQL, Data Factory

USA, Illinois, Chicago

  • 150000 to 160000 USD
  • Engineer Stelle
  • Fähigkeiten: Azure/SQL/DataFactory/PowerBI/DataLake
  • Seniority: Senior

Jobbeschreibung

I am working with an established & growing healthcare company that is looking to bring on a Remote full-time, permanent Manager/Azure Data Engineer with Azure, SQL and Azure Data Factory experience . Some responsibilities include:

-Actively participate requirement elicitation sessions to identify and document business functions data needs Estimate efforts to develop and refine functional and non-functional requirements.

-Estimate tasks with granularity and accuracy commensurate with the information provided. Lead rapid prototyping and POC development efforts and design enterprise-grade data services Design and develop enterprise dataflow architecture and implementation best practices.

-Design, develop and deliver cost-efficient data engineering solutions that meet business line and enterprise requirements. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Work with stakeholders, including the Executive, Product, Data, and Design teams, to assist with data-related technical issues and support their data infrastructure needs.

-Configure cloud infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Azure technologies. Ensure standardization of SQL coding practices and adherence to coding standards, change control, and SQL best practices Design and implement ETL packages in accordance with documented templates and standards as defined by the data management group Research, Diagnose, and Monitor Performance Bottlenecks, etc. Build dimensional representations of data either in the data repository or in OLAP tools