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
What You Need:
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
A bachelor's degree or college program, preferably in computer science, or mathematics.
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
Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation, based on full-time employment, for roles that may be hired in British Columbia as set forth below.
Information on benefits is here.
Role Location Annual Salary Range
British Columbia $60,600 to $158,900