Azure Data Engineer

Work set-up: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Bachelor's degree in Computer Science, Information Technology, or related field., 2-5 years of experience as a data engineer or similar role., Experience with Azure cloud services such as ADF, ADB, Azure SQL, and Azure Data Factory pipelines., Proficiency in SQL, Python, and Azure Data Bricks orchestration..

Key responsibilities:

  • Build efficient and scalable ETL processes using big data technologies.
  • Deploy and maintain code in production environments to ensure stability.
  • Design and implement data solutions leveraging large-scale cloud infrastructure.
  • Collaborate with teams to deliver projects on time and meet stakeholder requirements.

MVC Resources logo
MVC Resources Human Resources, Staffing & Recruiting Startup https://mvc-resources.com/
11 - 50 Employees
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Job description

We are a fast-growing IT consultancy specializing in the transformation of complex Global enterprises. We are looking for passionate and hardworking individuals to help deliver for our global customer base. We embrace the opportunities of the future and work proactively to make good use of technology. As you can imagine, this means that we have a vibrant and diverse mix of skills and people, making it a great place to work.

About the job
The company helps global enterprises modernize their Data and Analytics landscapes using Azure. We are rapidly growing our Data Engineering practice and looking for hard-working passionate team members to join our exciting journey. We are looking to expand our current team and need experienced individuals who can lead our ongoing and upcoming projects in this space. You will be given significant training and development opportunities whilst working on projects for global household names. Successful candidates will understand modern data platform architecture and have solved complex technical problems to deliver to clients’ requirements. You will be a competent team player, developing simple and straightforward solutions that are scalable, utilizing appropriate technologies and engineering best practices.

Key Responsibilities
  • Build highly efficient and scalable ETL processes using big data technology
  • Deploy code to production and maintain the stability of the production environment
  • Leverage large scale cloud infrastructure to build high throughput services
  • Designing and implementing code in SQL/Python
  • Good understanding and implementation experience in Data Governance, Data Quality, Data Modeling etc.
  • Presentation skills with a high degree of comfort with both large and small audiences
  • Strong communication and collaboration abilities in addition to technical depth
  • Ensure projects are delivered on time and to the satisfaction of the stakeholder

Requirements
  • 2-5 years of experience as a data engineer/similar
  • Experience/Exposure to Azure services and worked on Azure data projects
  • Experience with Azure cloud services: ADF, ADB, Azure SQL server
  • Should have worked in Azure data bricks orchestration with any language (like R, Scala, Python, SQL)
  • Should have developed Azure data factory pipelines
  • Should have knowledge or worked on Azure synapse analytics.
  • Experience with object-oriented/object function scripting languages: Python
  • Knowledge of Agile Methodologies
  • Knowledge on orchestrating workloads on cloud
  • Knowledge on legacy Database Migration.


Benefits
A career here will give you a path towards progression and opportunities with the current rate of growth. We at this company have dedicated time towards individual growth, recognizing individual contributions, filling the team with a strong sense of purpose along with providing a fun, flexible and friendly work environment.

  • Allowance Benefits: Enjoy a range of allowances to support your role and responsibilities.
  • Performance Bonus: Exceptional performance is rewarded with attractive bonuses.
  • Salary Increment: Regular salary reviews and increments based on performance and company growth.
  • Global Opportunities: Work on projects worldwide with options for remote work or short to long-term assignments in various locations, including the U.S. and beyond

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Human Resources, Staffing & Recruiting
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Presentations
  • Collaboration
  • Communication

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