Cloud DevOps Specialist

Job summary

You will deploy and configure data services and streaming components while building ingestion and transformation pipelines to curate datasets. Additionally, you will collaborate with cross-functional teams to implement data quality rules and ensure metadata and lineage are properly registered.

Job details

We Are: Accenture AI & Data, 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: As a DevOps Consultant, you will stand up the data services and streaming components of the platform and prove that data can be ingested, processed and consumed within a strictly isolated network. You will deploy and configure the database, streaming and processing components, and build the ingestion and transformation pipelines that carry a priority data source through to curated datasets fit for analytical consumption. You will implement data quality validation, register metadata and lineage in the catalogue, and enable analyst and data science access to the curated data. You will collaborate with the Platform / DevOps Consultants so that data components are deployed through the same infrastructure-as-code and pipeline discipline as the rest of the platform, and with the Lead Enterprise Architect on data modelling and ontology for the priority domain. In this role, you are expected to be a subject matter expert in your discipline, work independently against a defined architecture, and contribute to team decisions within your area of responsibility. Advanced proficiency in Data Integration and Pipeline Implementation is required. Advanced proficiency in Streaming Data Architecture is recommended. Deploy and configure the data services and streaming components of the platform. Build scheduled and event-driven ingestion pipelines, including change data capture, where required. Develop transformation logic and business rules to curate raw data into consumable datasets. Implement data quality rules and automated validation across the pipeline Establish metadata, lineage and access registration. 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 Role is hybrid. What You Need: Minimum 5 years of experience in designing and maintaining data pipelines, or data transformation, medallion layer-based solutions and data modelling. Experience as in solutioning and building scalable data platforms. Experience with 1 of the leading cloud service providers (Azure, AWS, Google) Experience with 2 of 3 - Java, Scala, and Python programming languages *Eligibility for Canadian Secret Clearance Required* A bachelor's degree or completion of a college program in computer science or a related field English is required for this position as this role will regularly interact with stakeholders across Canada, US and other countries across our Global footprint where English is the common language. 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 Experience with 1 of the other cloud service providers (Oracle, Informatica) or experience with open-source technologies (Spark, Kafka, Presto, Hive, Cassandra etc.). Certified Data Solution Architect in 1 or more Cloud Technologies (AWS, GCP, Azure) Ability to manage numerous requests concurrently and be able to prioritize and deliver #LI-NA-FY25 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 as set forth below. The recruiting efforts for this position are intended to fill a brand new position. The base pay range shown below is intended as a guideline to reflect the majority of offers for this role. It does not represent a maximum limit — in some cases, actual compensation may exceed the range where appropriate. Information on benefits is here. Role Location Annual Salary Range British Columbia/Ontario/New Brunswick $75,400 to $125,400 About Accenture Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at www.accenture.com Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

What you’ll do

You will deploy and configure data services and streaming components while building ingestion and transformation pipelines to curate datasets. Additionally, you will collaborate with cross-functional teams to implement data quality rules and ensure metadata and lineage are properly registered.

Requirements

Candidates must have a minimum of 5 years of experience in designing and maintaining data pipelines and data modeling. Proficiency in at least one major cloud provider and two of the three programming languages (Java, Scala, Python) is required, along with eligibility for Canadian Secret Clearance.

Listed skills

• Java · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Data Pipelines
• Data Transformation
• Data Modeling
• Cloud Computing
• Java
• Scala
• Python
• Streaming Data Architecture
• Infrastructure-as-code
• Data Quality Validation
• Metadata Management
• Big Data
• Change Data Capture
• Analytical Consumption
• Solution Architecture
• Business Systems Analysis
• Change Data Capture (CDC)
• Informatica
• Responsible AI
• Cloud Services
• Building Trust
• Secret Clearance
• Business Objectives
• Infrastructure as Code (IaC)
• Java (Programming Language)
• Artificial Intelligence
• Amazon Web Services
• Data Analysis
• Automation
• Microsoft Azure
• Business Requirements
• Communication
• Computer Science
• Consulting
• Data Architecture
• Data Integration
• Data Management
• Data Quality
• DevOps
• English Language
• Event-Driven Programming
• Global Delivery Model
• Leadership
• Apache Hive
• Scalability
• Innovation
• Python (Programming Language)
• Machine Learning
• Project Management
• Metadata

Job areas

• Technology
• Data & Analytics
• Software
• Consulting
• Engineering
• Cloud DevOps Engineer
• Unclassified Specialized Occupation

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