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Data Engineer - Contract Only (Python/PySpark/Azure Databricks)

Job Description

Description:

The team is looking for a Data Engineer experienced in implementing data solutions in Azure. The Data Engineer will analyze, design and develop enterprise data and information architecture deliverables, focusing on data as an asset for the enterprise. The Data Engineer will also support the implementation of Infrastructure as Code (IaC) by working with teams to help engineer scalable, reliable, and resilient software running in the cloud.

Leverages enterprise standards for data domains and data solutions, focusing on simplified integration and streamlined operational and analytical uses

Guides high level data architecture design (functional, non-functional) and ensures teams adhere to data architecture standards

Develops information processes for data acquisition, data transformation, data migration, data verification, data modeling, and data mining

Accountable for cost viability and technical estimation of data platform usage

Designs data solutions for data distributions and partitions, scalability, disaster recovery and high availability

Designs security for data policies and standards

Monitors and optimizes data solutions

Actively governs and automates standard data architecture patterns and blueprints

Partners with architecture, security, infrastructure, and application teams to design and implement the automation of data, data platforms, and tools

Creates and updates automation to eliminate routine management processes

Articulates the need for scalability and understand the importance of improving quality through testing

5+ years of hands-on experience with data platforms

Experience in designing data solutions in Azure including data distributions and partitions, scalability, disaster recovery and high availability

Experience in monitoring and optimizing data solutions in Azure including using Azure Monitor

Experience in implementing data solutions in Azure including Azure SQL, Azure Synapse, Cosmos DB, Databricks, ADLS, Blob Storage, ADF, Azure Stream Analytics

Experience in designing security for data policies and standards

In depth understanding and proficiency in automation of cloud platforms and data platforms

Expertise in on-prem and cloud database automation and platform automation with Azure

Proficiency with cloud automation tooling such as Ansible and Terraform

Proficiency with DevOps and CI/CD methodologies and tools for automated infrastructure code test, integration, deployment, and assurance

Proficiency with Languages such as Ruby, bash, Python or Go

Experience with Software Development and automation methodologies

Experience with data security best practices

Strong problem-solving skills

Strong collaboration skills and excellent verbal and written communication skillsSkills:

DAISS, DASS, ERPSS, Azure, DatabricksTop Skills Details:

Python/PySpark

Azure Databricks

Direct experience with a variety of SQL, NoSQL and Big Data Platforms

Direct experience with data science solutions or platformsAdditional Skills & Qualifications:

Leverages enterprise standards for data domains and data solutions, focusing on simplified integration and streamlined operational and analytical uses

Guides high level data architecture design (functional, non-functional) and ensures teams adhere to data architecture standards

Develops information processes for data acquisition, data transformation, data migration, data verification, data modeling, and data mining

Accountable for cost viability and technical estimation of data platform usage

Designs data solutions for data distributions and partitions, scalability, disaster recovery and high availability

Designs security for data policies and standards

Monitors and optimizes data solutions

Actively governs and automates standard data architecture patterns and blueprints

Partners with architecture, security, infrastructure, and application teams to design and implement the automation of data, data platforms, and tools

Creates and updates automation to eliminate routine management processes

Articulates the need for scalability and understand the importance of improving quality through testingExperience Level:

Intermediate Level

About TEKsystems:

We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

Job Requirements

 

Job Snapshot

Location US-OH-Cincinnati
Employment Type Contractor
Pay Type Year
Pay Rate N/A
Store Type Sales & Marketing
Apply

Company Overview

TEKsystems, Inc

We’re partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services and real-world application, we work with progressive leaders to drive change. That’s the power of true partnership. TEKsystems is an Allegis Group company. Learn More

Contact Information

US-OH-Cincinnati
Snapshot
TEKsystems, Inc
Company:
US-OH-Cincinnati
Location:
Contractor
Employment Type:
Year
Pay Type:
N/A
Pay Rate:
Sales & Marketing
Store Type:

Job Description

Description:

The team is looking for a Data Engineer experienced in implementing data solutions in Azure. The Data Engineer will analyze, design and develop enterprise data and information architecture deliverables, focusing on data as an asset for the enterprise. The Data Engineer will also support the implementation of Infrastructure as Code (IaC) by working with teams to help engineer scalable, reliable, and resilient software running in the cloud.

Leverages enterprise standards for data domains and data solutions, focusing on simplified integration and streamlined operational and analytical uses

Guides high level data architecture design (functional, non-functional) and ensures teams adhere to data architecture standards

Develops information processes for data acquisition, data transformation, data migration, data verification, data modeling, and data mining

Accountable for cost viability and technical estimation of data platform usage

Designs data solutions for data distributions and partitions, scalability, disaster recovery and high availability

Designs security for data policies and standards

Monitors and optimizes data solutions

Actively governs and automates standard data architecture patterns and blueprints

Partners with architecture, security, infrastructure, and application teams to design and implement the automation of data, data platforms, and tools

Creates and updates automation to eliminate routine management processes

Articulates the need for scalability and understand the importance of improving quality through testing

5+ years of hands-on experience with data platforms

Experience in designing data solutions in Azure including data distributions and partitions, scalability, disaster recovery and high availability

Experience in monitoring and optimizing data solutions in Azure including using Azure Monitor

Experience in implementing data solutions in Azure including Azure SQL, Azure Synapse, Cosmos DB, Databricks, ADLS, Blob Storage, ADF, Azure Stream Analytics

Experience in designing security for data policies and standards

In depth understanding and proficiency in automation of cloud platforms and data platforms

Expertise in on-prem and cloud database automation and platform automation with Azure

Proficiency with cloud automation tooling such as Ansible and Terraform

Proficiency with DevOps and CI/CD methodologies and tools for automated infrastructure code test, integration, deployment, and assurance

Proficiency with Languages such as Ruby, bash, Python or Go

Experience with Software Development and automation methodologies

Experience with data security best practices

Strong problem-solving skills

Strong collaboration skills and excellent verbal and written communication skillsSkills:

DAISS, DASS, ERPSS, Azure, DatabricksTop Skills Details:

Python/PySpark

Azure Databricks

Direct experience with a variety of SQL, NoSQL and Big Data Platforms

Direct experience with data science solutions or platformsAdditional Skills & Qualifications:

Leverages enterprise standards for data domains and data solutions, focusing on simplified integration and streamlined operational and analytical uses

Guides high level data architecture design (functional, non-functional) and ensures teams adhere to data architecture standards

Develops information processes for data acquisition, data transformation, data migration, data verification, data modeling, and data mining

Accountable for cost viability and technical estimation of data platform usage

Designs data solutions for data distributions and partitions, scalability, disaster recovery and high availability

Designs security for data policies and standards

Monitors and optimizes data solutions

Actively governs and automates standard data architecture patterns and blueprints

Partners with architecture, security, infrastructure, and application teams to design and implement the automation of data, data platforms, and tools

Creates and updates automation to eliminate routine management processes

Articulates the need for scalability and understand the importance of improving quality through testingExperience Level:

Intermediate Level

About TEKsystems:

We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

Job Requirements

 
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Data Engineer - Contract Only (Python/PySpark/Azure Databricks) Apply now