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Job Description
We Are:
Accenture Data & AI, the people who love using data to tell a story. We’re also the world’s largest team of data scientists 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? Read on to learn more about this role and who we are looking for.
You Are:
A hands-on data professional who knows how to develop, design, and maintain cloud data infrastructures that work for our clients. You have a strong foundation in implementing data solutions. With your experience in modern data technologies, you excel at transforming complex data challenges into actionable insights that drive business outcomes. You are a next-generation thinker, a collaborative team player when it comes to what we call Data in the New.
You know how to come up with strategies, solutions, and processes for managing enterprise-wide data throughout the data life cycle. Your ability to communicate technical concepts to both technical and non-technical stakeholders make you an invaluable asset to any project.
What You’ll Do:
- Understand our customers' core business objectives and build end-to-end data centric solutions to address them
- Collaborate with the business systems analyst, to understand business requirements, and optimize data pipeline performance
- Build solutions leveraging big data and data management tools to meet projects’ requirements
- Construct code with good coding standard and practices to ensure high quality and minimum risks
- Closely work with project manager and technical leads to provide regular status reporting and support them to identify blockers for quick resolution
Qualifications
What You Need:
- A bachelor's degree or college program, preferably in computer science, or mathematics.
- Bilingual (English and French). Effective written and spoken skills in both English and French.
- Minimum 5 years of experience in designing and maintaining data pipelines, or data transformation, and data modelling
- Experience in architecting and building scalable data platforms.
- Experience with 1 of the leading cloud service providers (Azure, AWS, Google, Oracle, Informatica) or experience with open-source technologies (Spark, Kafka, Presto, Hive, Cassandra etc.).
- Experience with SQL and/or NOSQL databases
- Experience with 2 of 3 - Java, Scala, and Python programming languages
- English is required for this position as this role will regularly interact with English-speaking stakeholders across Canada. Due to the significant high volume of interactions with these English-speaking stakeholders, which is inherent to this position, it is not possible to reorganize the company's activities to avoid this requirement.
Bonus Points:
- Production implementation experience for all qualifications listed
- Production experience in building real-time analytics applications
- Experience in both batch and stream processing technologies
- Machine learning experience with Spark or similar
- Certified Data or Solution Architect in 1 or more Cloud Technologies (AWS, GCP, Azure)
- Ability to manage numerous requests concurrently and be able to prioritize and deliver
- Effective communication skills
#LI-NA
Locations
Alberta - Calgary, British Columbia - Vancouver, Ontario - Ottawa, Ontario - Toronto, Quebec - Montreal