Azure Databricks Engineer
- United States
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Job details
- Education
- Bachelor’s degree
- Posting language
- English
Original job description
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. 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.
•Experience architecting and implementing data solutions using Microsoft Azure, Azure Databricks, and Azure Data Factory (ADF). •Proficiency in data engineering technologies, including Apache Spark, Kafka, SQL, and Python. •Hands-on experience with end-to-end implementation of data warehouses and data marts. •Understanding of data warehousing concepts, including Data Vault, dimensional modeling, and OLAP design. •Experience designing and implementing scalable solutions for distributed data systems. •Hands-on experience with CI/CD pipelines and platforms such as GitHub Actions and Azure Pipelines. •Experience leading technical teams and mentoring data engineers. •Problem-solving skills with the ability to design and deliver complex data engineering solutions •Understanding of retail data domains and associated data use cases. •Familiarity with vector search and semantic retrieval, preferably for retail use cases. •Experience with relational modeling, dimensional modeling, and modeling of unstructured data. •Familiarity with logging, monitoring, and observability solutions. •Experience with development containers, unit testing, code-quality reviews, and linting. •Understanding of Agile software development methodologies. •Ability to work effectively in a diverse, multi-stakeholder environment across business and technology teams. •Experience working in a global delivery environment. •Experience implementing automation capabilities within data engineering or development processes. •Exposure to Generative AI frameworks and technologies, such as OpenAI, Hugging Face, and LangChain.
- 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 Us
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing 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 unprecedented 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.
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.
More about this job
Skills
- Microsoft Azure
- Databricks
- Google Analytics
- Decision making
- Liaise with industry experts
- Troubleshooting
- Microsoft Azure Data Factory
- Data engineering
- Apache Spark
- Apache Kafka
- SQL
- Python
- Data warehousing
- CI/CD
- GitHub
- Coaching
- Problem solving
- Unstructured data
- Unit testing
- Agile
- Hugging Face
- LangChain