Data Engineer II/III – Azure

2 Months ago • 3 Years + • Data Analysis

Job Summary

Job Description

Rackspace Technology is seeking a Data Engineer - Azure II/III to join their team. This is a hands-on role focused on consultative data engineering engagements with various stakeholders. Responsibilities include designing and building resilient data pipelines for batch and real-time streaming, collaborating with product managers, software engineers, data analysts, and data scientists to build scalable platforms, and providing technical product expertise. The role also involves advising on deployment architectures, handling technical questions about data infrastructure and PaaS services, and collaborating with enterprise and data architects on data structures, formats, pipelines, and workload orchestration. Key areas of focus include data privacy & security, ingestion & processing, storage & compute, consumption, modeling, virtualization, self-service data preparation, AI enablement, and API integrations. The engineer will execute projects with an Agile mindset and build software frameworks to solve data problems at scale.
Must have:
  • 3+ years of data engineering experience
  • Experience with Databricks, Snowflake, or Synapse lakehouses
  • Extensive experience with Azure data services (Databricks, Synapse, ADF)
  • Strong SQL and Python/Spark programming skills
  • Knowledge of JIRA, Git, Jenkins, TFS, Shell, PowerShell, Bitbucket
  • Experience with Agile development methods
Good to have:
  • Prior experience using DBT
  • Prior experience using PowerBI
  • Experience with related Azure infrastructure services
  • Certifications on Azure Data Engineering
Perks:
  • Named a best place to work

Job Details

Data Engineer – Azure
 
 This is a hands on data platform engineering role that places significant emphasis on consultative data engineering engagements with a wide range of customer stakeholders; Business Owners, Business Analytics, Data Engineering teams, Application Development, End Users and Management teams.
 

 

You Will

  • Design and build resilient and efficient data pipelines for batch and real-time streaming
  • Collaborate with product managers, software engineers, data analysts, and data scientists to build scalable and data-driven platforms and tools.
  • Provide technical product expertise, advise on deployment architectures, and handle in-depth technical questions around data infrastructure, PaaS services, design patterns and implementation approaches.
  • Collaborate with enterprise architects, data architects, ETL developers & engineers, data scientists, and information designers to lead the identification and definition of required data structures, formats, pipelines, metadata, and workload orchestration capabilities
  • Address aspects such as data privacy & security, data ingestion & processing, data storage & compute, analytical & operational consumption, data modeling, data virtualization, self-service data preparation & analytics, AI enablement, and API integrations.
  • Execute projects with an Agile mindset.
  • Build software frameworks to solve data problems at scale.

Technical Requirements

  • 3+ years of data engineering experience leading implementations of large-scale lakehouses on Databricks, Snowflake, or Synapse. Prior experience using DBT and PowerBI will be a plus.
  • Extensive experience with Azure data services (Databricks, Synapse, ADF) and related azure infrastructure services like firewall, storage, key vault etc. is required.
  • Strong programming / scripting experience using SQL and python and Spark.
  • Knowledge of software configuration management environments and tools such as JIRA, Git, Jenkins, TFS, Shell, PowerShell, Bitbucket.
  • Experience with Agile development methods in data-oriented projects 

Other Requirements

  • Highly motivated self-starter and team player and demonstrated success in prior roles.
  • Track record of success working through technical challenges within enterprise organizations
  • Ability to prioritize deals, training, and initiatives through highly effective time management
  • Excellent problem solving, analytical, presentation, and whiteboarding skills
  • Track record of success dealing with ambiguity (internal and external) and working collaboratively with other departments and organizations to solve challenging problems
  • Strong knowledge of technology and industry trends that affect data analytics decisions for enterprise organizations
  • Certifications on Azure Data Engineering and related technologies.

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"Remote postings are limited to candidates residing within the country specified in the posting location"


About Rackspace Technology

We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.

 

 

More on Rackspace Technology

Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.

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