Technology Analyst - Databricks Developer

Infosys; Mississauga; On-site; CAD 73,000 - 105,000; Full time

Job summary

Infosys is seeking an Technology Analyst - Azure Databricks - Data Engineer to enable digital transformation for clients within a global delivery model. You will research technologies, recommend solutions, and contribute to best practices while interfacing with stakeholders across various stages of the Software Development Life Cycle.

The role requires hands-on experience with Azure Databricks, Python, PySpark, and SQL, plus strong SQL and Unix shell scripting skills.

Qualifications

• Bachelor’s degree or foreign equivalent required; three years of progressive experience can substitute for education.
• End-to-end implementation experience in Azure, Databricks, Python, PySpark, SQL.
• Strong SQL and Unix shell scripting skills.

Responsibilities

• Interface with key stakeholders to define technical approaches.
• Contribute to SDLC activities and project deliverables.
• Apply data engineering practices and standards across cloud-based data platforms.

Skills

Azure Databricks

Python

PySpark

SQL

Unix shell scripting

Education

Bachelor’s degree or equivalent

Job description

Infosys is seeking an Technology Analyst - 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

Ontario: $72783 to $105007

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. Travel may be required as per the job requirements

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.