Azure Databricks Engineer

Infosys Limited; Ann Arbor (MI); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Health and Dependent Care Reimbursement Accounts

Long-term/Short-term Disability

Insurance (Accident, Critical Illness, Hospital Indemnity)

401(k) plan

Job summary

Infosys Limited, based in Ann Arbor, Michigan, is hiring for a role in Data and Analytics. The position involves leveraging advanced AI and analytics to drive business growth and enhance operational efficiency. Candidates should have hands-on experience with the Databricks ecosystem and Azure Data Engineering stack.

The role includes responsibilities like documenting requirements, facilitating design discussions, and conducting coding and code reviews. Offer includes competitive pay with multiple benefits such as 401(k) plans, health insurance, and more.

Qualifications

• Hands-on experience with the Databricks ecosystem including Delta Lake and PySpark.
• Experience in designing, building and optimizing data pipelines.
• Bachelor’s degree or equivalent experience required.

Responsibilities

• Document business requirements and design software solutions.
• Participate in coding and integrate new features into applications.
• Conduct code reviews and maintain code quality.

Skills

Hands-on experience with Databricks ecosystem

Azure Data Engineering stack

Experience with data pipelines

ETL/ELT principles

Collaboration and communication

Education

Bachelor’s degree or foreign equivalent

Tools

Git/GitLab

Azure Databricks

SQL

Python

Job description

Overview

The Infosys Data and Analytics (DNA) unit is at the forefront of transforming data into actionable insights, driving business growth and operational efficiency. We specialize in leveraging advanced AI and analytics to create innovative solutions that address complex business challenges. Our team is dedicated to pioneering the future of data-driven decision-making, enabling organizations to unlock new opportunities and achieve sustainable success. Join us to be part of a dynamic team that is revolutionizing the way businesses harness the power of data and AI. At Infosys DNA, you'll have the opportunity to work with cutting-edge technologies, collaborate with industry experts, and contribute to transformative projects that shape the future of business. We are committed to fostering a culture of continuous learning and growth, ensuring that our team members thrive in a dynamic and supportive environment. If you're passionate about AI and eager to make a significant impact, the Infosys DNA unit is the perfect place for you to grow and excel.

Area of Responsibility

• 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:

• 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

EEO

Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.