Databricks Engineer

Infosys•Boston, MA

About The Position

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.

Requirements

Experience in end-to-end implementation of projects in AWS, Databricks, PySpark/ Scala-Spark, SQL.
Strong knowledge and hands-on experience in SQL.
Hands-on experience in Design and development of Ingestion pipeline, ETL pipeline and jobs in Databricks.
Experience in Databricks workspace and cluster configuration and Job scheduling and workflow management
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.
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.
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.

Nice To Haves

Sound knowledge of software engineering design patterns and practices
Strong knowledge Data structures, Data Engineering concepts, Algorithms, Collections, Multi-threading and memory management and concurrency
Experience in large scale cloud data migrations using Databricks, Snowflake, Python, Spark, Scala and SQL.
Hands-on experience in Design and development of Ingestion pipeline, ETL pipeline and jobs in Databricks.
Databricks workspace and cluster configuration and Job scheduling and workflow management
Strong experience in handling large datasets and performance optimization techniques in data ingestion and data retrieval in databricks platform.
Good exposure in Power BI
Good understanding of Agile software development frameworks
Experience in Banking/Financial domain
Good to have experience in Snowflake
Strong communication and Analytical skills
Ability to work in teams in a diverse, multi-stakeholder environment comprising of Business and Technology teams
Experience and desire to work in a global delivery environment

Responsibilities

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