Infosys

Azure Databricks Engineer

Infosys$90K — $130K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of hands-on experience with Databricks ecosystem (Delta Lake, Unity Catalog, DLT, PySpark, SQL, Python)
  • Experience with Azure Data Engineering stack (ADF, ADLS, Blob, Key Vault) and version control tools like Git/GitLab
  • Proven ability to design, build, and optimize scalable data pipelines on Azure Databricks
  • Experience in data ingestion, transformation, and processing for enterprise data platforms
  • Strong collaboration skills with onsite stakeholders and cross-functional teams for requirement gathering

Responsibilities

  • Contribute to business requirements documentation for assigned tasks
  • Facilitate software design discussions and document design decisions
  • Code new features into existing applications while maintaining system stability
  • Conduct code reviews and maintain the codebase
  • Implement test strategies and coordinate bug fixes for quality assurance
  • Develop user training programs and support documentation for new software
  • Help resolve production issues and recommend enhancements for system reliability

Benefits

  • Medical/Dental/Vision/Life Insurance
  • Long-term/Short-term Disability
  • Health and Dependent Care Reimbursement Accounts
  • Various insurance options (Accident, Critical Illness, Hospital Indemnity, Legal)
  • 401(k) plan with contributions based on salary level
  • Paid holidays and Paid Time Off
Full Job Description
Job details

Job Role

Technology Consultant 2

Career Role

Technology Lead - US

Work Location

Ann Arbor, MI

State / Region / Province

Michigan

Country

USA

Domain

Delivery

Interest Group

Infosys Limited

Company

ITL USA

Requisition ID

149279BR

Technical Skills 1

Technology|Data Engineering|Databricks

Technical Skills 2

Technology|AI Engineering|Databricks AI Engineering Services

In the assigned Job Role of Technology Consultant 2, your Area Of Responsibility will be as below:
• Contribute to the requirements elicitation process by documenting assigned parts of business requirements, in line with guidance provided
• Facilitate software application design discussions, and document design decisions to guide the technical team towards building software solutions
• Participate in coding and integrate new features or updates into existing applications, with a focus on maintaining system stability
• Conduct code reviews, do changes to the codebase and maintain code repositories
• Implement test strategies, analyse results, and coordinate bug fixes to uphold the software quality standards
• Develop user training programs, documentation, and support frameworks to ensure a smooth transition to new software applications
• Actively participate in resolving production issues and recommend preventive strategies to enhance system reliability
• Maintain detailed records of code, testing techniques, and support activities to enrich the knowledge base and assist other similar projects

Your contribution to the team:
• A collaborative spirit and excellent communication skills.
• The ability to handle end to end SDLC phases from requirement gathering to implementation.
• A knack for translating complex requirements into actionable development tasks.
• A passion for design and hands-on coding experience
• A proactive approach to testing, troubleshooting, and refining our applications.
• The ability to work with cross-functional teams and do software integration.

Required Skill and Experience

Hands-on experience with Databricks ecosystem (Delta Lake, Unity Catalog, DLT, PySpark, SQL, Python)
Work with Azure Data Engineering stack (ADF, ADLS, Blob, Key Vault) and version control (Git/GitLab)
Experience designing, building, and optimizing scalable data pipelines using Azure Databricks
Experience performing data ingestion, transformation, and processing for enterprise data platforms
Experience collaborating with onsite stakeholders and cross-functional teams to gather requirements and deliver solutions
Experience applying core data engineering principles (ETL/ELT, distributed processing, data governance)

Preferred Skill and Experience

Experience in real time data ingestion, data warehouses, serverless ETL, No SQL databases, DevOps, Kubernetes, virtual machines, web/function apps, monitoring and security tools.

Additional Required Qualifications
• 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.
• This position may require relocation and/or travel to work/project location.
• Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role now or in the future.

Benefits

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

About Infosys

Infosys Limited is an Indian multinational corporation that provides business consulting, information technology and outsourcing services. It has its headquarters in Bangalore, Karnataka, India. Infosys is the second-largest Indian IT company after Tata Consultancy Services by 2017 revenue figures and the 596th largest public company in the world based on revenue. On 31 March 2018, its market capitalisation was $37.32 billion. The credit rating of the company is A? (rating by Standard & Poor's).
Learn more about Infosys
Size
314,015 employees
Market Cap
$77.5 billion
Industry
Net Income
$178.5 billion
Founded
2004
5 Year Trend
+12.2%
Revenue
$945.9 billion
NASDAQ

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