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Senior Data Engineer – Azure

Rackspace is a cloud computing and technology services company providing managed cloud services.
Data
Senior Software Engineer
Hybrid
5,000+ Employees
7+ years of experience
Enterprise SaaS · Cloud

Description For Senior Data Engineer – Azure

Rackspace is seeking a Senior Data Engineer to join their Azure team in a hands-on platform engineering role. This position emphasizes consultative data engineering engagements with various stakeholders including Business Owners, Analytics teams, and Management. The role involves designing and building resilient data pipelines, architecting cloud infrastructure, and leading technical implementations of large-scale data solutions.

The ideal candidate will have extensive experience with Azure data services, strong programming skills in SQL and Python, and proven expertise in data modeling and lakehouse concepts. You'll be responsible for collaborating across teams to build scalable data-driven platforms, handling technical architecture decisions, and leading a team of engineers to deliver impactful results.

This is an excellent opportunity for an experienced data engineer looking to work with cutting-edge cloud technologies while having a significant impact on enterprise-level data solutions. The position offers a hybrid work environment with locations in both Gurgaon and Bangalore, India. You'll be part of a growing team at Rackspace, a leading managed cloud services provider, where you can apply your expertise in data engineering while working on challenging problems at scale.

The role requires a combination of technical excellence and leadership skills, as you'll be expected to not only architect and implement solutions but also guide teams and interact with stakeholders at various levels. If you're passionate about data engineering, have a strong background in Azure technologies, and enjoy solving complex data challenges, this role offers an excellent opportunity for career growth and technical leadership.

Last updated a month ago

Responsibilities For Senior Data Engineer – Azure

  • Design and build resilient and efficient data pipelines for batch and real-time streaming
  • Architect and design data infrastructure on cloud using Infrastructure-as-Code tools
  • Collaborate with product managers, software engineers, data analysts, and data scientists
  • Provide technical product expertise and advise on deployment architectures
  • Lead a team of engineers to deliver impactful results at scale
  • Execute projects with an Agile mindset
  • Build software frameworks to solve data problems at scale

Requirements For Senior Data Engineer – Azure

Python
  • 7+ years of data engineering experience leading implementations of large-scale lakehouses on Databricks, Snowflake, or Synapse
  • 3+ years experience architecting solutions for developing data pipelines
  • Extensive experience with Azure data services (Databricks, Synapse, ADF)
  • Strong programming/scripting experience using SQL and Python and Spark
  • Strong Data Modeling, Data lakehouse concepts
  • Knowledge of software configuration management environments and tools
  • Experience with Agile development methods
  • Azure Data Engineering certifications
  • Excellent problem solving, analytical, presentation, and whiteboarding skills

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