Technology Lead - Azure Databricks

Infosys; Mississauga; On-site; CAD 93,000 - 123,000; Full time

Job summary

Infosys is seeking a Technology Lead - Azure Databricks - Data Engineer to accelerate digital transformation for clients in a global delivery model. You will interface with stakeholders and apply technical proficiency across the software development lifecycle.

You will be part of a learning culture where teamwork, excellence and diversity are valued, and you will lead end-to-end data engineering initiatives using Azure Databricks, PySpark and SQL.

Qualifications

• Bachelor's degree or foreign equivalent required; progressive experience can substitute education.
• 4+ years of Information Technology experience.
• End-to-end implementation experience with Azure, Databricks, Python, PySpark, SQL.

Responsibilities

• Interface with key stakeholders and apply technical proficiency across the SDLC.
• Contribute to tech-specific best practices and standards.
• Work in a global delivery model with a learning culture and collaboration.

Skills

Azure Databricks

Python

PySpark

SQL

Unix shell scripting

Education

Bachelor's degree or foreign equivalent

Tools

Databricks

Snowflake

Spark

Job description

Infosys is seeking an Technology Lead - Azure Databricks - Data Engineer

In this role, you will enable digital transformation for our clients in a global delivery model, research on technologies independently, recommend appropriate solutions and contribute to technology-specific best practices and standards. You will be responsible to interface with key stakeholders and apply your technical proficiency across different stages of the Software Development Life Cycle. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued.

Required Qualifications

• Candidate must be located within commuting distance of Mississauga, ON / Calgary, AB (Canada) or be willing to relocate to the area. This position may require travel in the US
• Candidates authorized to work for any employer in Canada without employer based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time.
• 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 Information Technology experience
• Experience in end-to-end implementation of projects in Azure, Databricks, Python, PySpark, SQL.
• Strong knowledge and hands-on experience in SQL, Unix shell scripting

Preferred Qualifications

• 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, Python, Spark, SQL.
• 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

The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face.

Estimated annual compensation range for the candidate based in the below location will be:

Ontario: $ 92740 to $ 123375

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.