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Accenture

Advises businesses and runs their technology

Data Solutions Specialist

Data EngineeringUpdated on Nov 5
Full-timeCA$75.4k - CA$125.4k /yrHybrid

About the Job

Requirements

  • A bachelor's degree or completion of a college program in computer science or a related field is required.
  • At least 5 years of experience designing and maintaining data pipelines, data transformation, medallion-layer solutions, or data modelling is required.
  • Experience as a data engineer in solutioning and building scalable data platforms is required.
  • Experience with one leading cloud service provider (Azure, AWS, Google, Oracle, or Informatica) or open-source technologies such as Spark, Kafka, Presto, Hive, or Cassandra is required.
  • Experience with at least two of Java, Scala, and Python is required.
  • English is required for regular interaction with English-speaking stakeholders across Canada, the United States, and other countries.
  • Advanced proficiency in data architecture and pipeline implementation is required.

Responsibilities

  • Deploy and configure the platform’s data services, database, streaming, and processing components in a strictly isolated network.
  • 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 in the catalogue.
  • Enable analyst and data science access to curated data.
  • Collaborate with Platform/DevOps Consultants to deploy data components using infrastructure-as-code and pipeline practices.
  • Collaborate with the Lead Enterprise Architect on data modelling and ontology for the priority domain.
  • Understand customers’ core business objectives and build end-to-end data-centric solutions.
  • Collaborate with the business systems analyst to understand requirements and optimize data pipeline performance.
  • Build solutions using big data and data management tools to meet project requirements.
  • Construct code following good coding standards and practices to ensure quality and minimize risk.
  • Work with project managers and technical leads to provide status reporting and support identification and resolution of blockers.
  • Develop strategies, solutions, and processes for managing enterprise-wide data throughout its life cycle.
  • Communicate technical concepts to technical and non-technical stakeholders.

Desired Qualifications

  • Advanced proficiency in streaming data architecture is recommended.
  • Production implementation experience for all listed qualifications.
  • Production experience building real-time analytics applications.
  • Experience with both batch and stream processing technologies.
  • Machine learning experience with Spark or similar technologies.
  • Certification as a Data Consultant or Data Solution Architect in one or more cloud technologies, including AWS, GCP, or Azure.
  • Ability to manage numerous requests concurrently, prioritize, and deliver.
  • Eligibility for Secret Clearance is preferred.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1989

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