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Senior Azure Data Engineer

Infosys

Infosys

Data Science
Bellevue, WA, USA · United States
Posted on Tuesday, July 9, 2024

Job details

Country

USA


State / Region / Province

Washington


Work Location

Bellevue, WA


Domain

Delivery


Interest Group

Infosys Limited


Skills

Technology|Cloud Integration|Azure Data Factory (ADF), Technology|Consulting - Data Management|Data Management


Company

ITL USA


Requisition ID

120193BR


Salary min

80127


Salary max

110094


Job description

Infosys is seeking an Azure Data Engineer. In this role, you will work directly with the clients to lead critical modules in Data Engineering program which will include metadata management, data catalog, data quality, process/workflow definition implementation, Reporting, Delivery, etc. You will be part of an entrepreneurship and learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued.

Required Qualifications:
  • The project location is Bellevue, WA. Candidate must be located within commuting distance of Bellevue, WA or willing to relocate. This position will require relocation and / or travel to project locations. The candidate will be required to work in PST business hours.
  • Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
  • At least 4 years of experience in Information Technology.
  • At least 3 years of experience in designing, implementing, and maintaining robust and scalable data pipelines on Azure using services such as Azure Data Factory, Azure SQL Data Warehouse, Azure Analysis Services or any of the Azure Databricks/Synapse/Fabric.
  • At least 2 years of experience in data platforms – with multi layered approach, Design/Architecture setup is needed.
  • At least 2 years of experience in troubleshooting performance issues, identifying root cause and applying fixes.
  • At least 3 years of experience in SQL.
  • Ability to implement and manage CI/CD pipelines for data engineering projects, leveraging tools like Azure DevOps.
  • U.S. citizens and those authorized to work in the U.S. are encouraged to apply. We are unable to sponsor at this time.
Preferred Qualifications:
  • Ability to collaborate with data scientists and analysts to facilitate the availability of clean, structured data for analytical purposes.
  • Excellent communication and interpersonal skills are required.
  • Hands-on experience in programming language such as Python/Pyspark/Scala
  • Experience in working in Agile teams and working independently with Business stakeholders providing solutions and regular updates.
  • Familiarity with data modeling and ETL tools such as Erwin, Talend, DataStage.
  • Proven analytical and problem-solving skills.
  • Ability to lead large complex projects with limited direction.
About Us
Infosys is a global leader in next-generation digital services and consulting. We enable clients in 50 countries to navigate their digital transformation. With over three decades of experience in leading the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver outstanding levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

Along with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits:-
  • Medical/Dental/Vision/Life Insurance
  • Long-term/Short-term Disability
  • Health and Dependent Care Reimbursement Accounts
  • Insurance (Accident, Critical Illness, Hospital Indemnity, Legal)
  • 401(k) plan and contributions dependent on salary level
  • Paid holidays plus Paid Time Off
Infosys is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, spouse of protected veteran, or disability.

To learn more about Infosys and see our perspectives in action please visit us at www.Infosys.com