At a Glance
- Tasks: Design and develop scalable big data solutions using DBT and PySpark.
- Company: Join Infosys, a global leader in digital services and consulting.
- Benefits: Competitive salary, remote work options, and continuous learning opportunities.
- Other info: Collaborate with cross-functional teams and drive innovation in a global delivery setting.
- Why this job: Make an impact by building high-performance data pipelines in a dynamic environment.
- Qualifications: 7+ years in IT with strong skills in AWS, Python, and data processing frameworks.
The predicted salary is between 123750 - 151250 $ per year.
Infosys is seeking an experienced DBT PySpark Developer to design, develop, and optimize scalable big data solutions. The candidate will work on building high-performance batch and real-time data pipelines leveraging the Hadoop ecosystem and distributed computing frameworks (Spark). The role involves working closely with data engineers, architects, and business stakeholders to deliver robust, scalable, and efficient data processing systems.
Required Qualifications:
- Candidates authorized to work for any employer in Canada without employer-based visa sponsorship are welcome to apply.
- Candidate must be located within commuting distance of Calgary, AB or be willing to relocate to the area.
- 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 7 years of Information Technology experience.
- At least 7 years of experience in AWS Python technologies.
- Strong expertise in: DBT, Python, AWS, PySpark.
- Hands-on experience with: Data Ingestion pipelines, Shell scripting, Snowflake, Oracle, SQL Server.
- Strong understanding of distributed computing concepts and data processing frameworks.
- Experience in building ETL/data pipelines for large-scale datasets.
- Proficiency in SQL and data modeling.
Preferred Qualifications:
- Hands-on experience with data lakes, data warehouses, and scalable ETL pipeline design, including batch and real-time processing architecture.
- Strong understanding and practical exposure to Agile software development methodologies (Scrum) and SDLC practices.
- Proven experience in Banking domain, supporting use cases such as fraud detection, risk analytics, regulatory reporting, and customer insights.
- Excellent analytical, problem-solving, and communication skills, with the ability to translate business requirements into scalable technical solutions.
- Demonstrated ability to work effectively in cross-functional, multi-stakeholder environments, collaborating with Business, Data Engineering, and Architecture teams.
- Experience with real-time data streaming frameworks such as Kafka and Spark Streaming for low-latency processing.
- Understanding data modeling concepts (dimensional modeling, snowflake schemas) to support analytics workloads.
- 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. Extensive travel may be required as per client and project needs.
Additional Required Qualifications:
- A knack of designing and developing scalable, high-quality and optimized solutions that meet complex business needs.
- The ability to evaluate and adopt emerging technologies, translating them into practical prototypes and deployment-ready strategies.
- The ability to build reusable frameworks, automation scripts, and knowledge assets that enhance team productivity.
- Strong problem-solving mindset to debug complex technical issues and deliver error-free and reliable outcomes.
- Commitment to quality, performance and risk management, ensuring resilient and efficient project delivery.
- Proactive collaboration with internal team and client to drive knowledge sharing, continuous improvement and innovation.
Required Skill and Experience:
- Data Transformation: DBT (Data Build Tool).
- Experience in developing and applying generative AI models.
- Proficiency in programming languages like Python.
- Stay up to date on the latest advancements in generative AI research and actively contribute to the continuous improvement of our AI capabilities.
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.
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.
Technology Lead - DBT PySpark Developer in Calgary employer: Infosys
Infosys is an exceptional employer that fosters a dynamic work culture where innovation and collaboration thrive. With a strong emphasis on employee growth, you will have access to extensive training programs and opportunities for global exposure while working in the vibrant Calgary area. Join us to be part of a team that values your expertise and supports your professional journey in a meaningful way.
