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Jobs Search
Start Date
Immediate
Expiry Date
02 Dec, 25
Salary
0.0
Posted On
03 Sep, 25
Experience
3 year(s) or above
Remote Job
Yes
Telecommute
Yes
Sponsor Visa
No
Skills
Processing, Azure, Python, Data Engineering, Kafka, Communication Skills, Sql, Performance Tuning, Spark, Architecture, Apache Spark, Completion
Industry
Information Technology/IT
WE ARE:
Accenture’s Data & AI practice, the people who love using data to tell a story. We’re also the world’s largest team of data scientists, data engineers, and experts in machine learning and AI. A great day for us? Solving big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix of data, analytics, automation, and responsible AI can do almost anything—spark digital metamorphoses, widen the range of what humans can do, and breathe life into smart products and services. Want to join our crew of sharp analytical minds?
PREFERRED QUALIFICATIONS:
How To Apply:
Incase you would like to apply to this job directly from the source, please click here
ABOUT THE ROLE:
We are looking for an experienced and motivated Data Engineer to help design, build, and optimize scalable data systems. This role focuses on developing robust data pipelines, enabling real-time data ingestion and processing, and supporting data-driven decision-making. You’ll work with cutting-edge technologies including Apache Spark, Databricks, Kafka, and cloud platforms like GCP and Azure.
As a subject matter expert, you will lead by example guiding technical decisions, mentoring team members, and collaborating with cross-functional teams to deliver high-impact solutions. Your contributions will help shape data architecture and ensure the availability, reliability, and performance of data infrastructure.
KEY RESPONSIBILITIES:
Canada has emerged as one of the top destinations for IT and tech professionals. Its dynamic ecosystem spans from bustling metropolises to innovative tech hubs, where multinational corporations, startups, and research institutions collaborate to drive digital transformation.