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Accenture

Advises businesses and runs their technology

Custom Software Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • At least 7.5 years of experience is stated in the project-role details; the required skills section separately asks for 10 or more years of data engineering experience.
  • A minimum of 3–5 years of hands-on experience with Google BigQuery and Google Cloud Platform services is required.
  • Strong expertise in SQL development, data modeling, and optimization techniques is required.
  • In-depth understanding of data warehousing concepts, medallion architecture, and best practices is required.
  • Experience building and managing batch and streaming data pipelines is required.
  • Familiarity with Google Composer, Google Dataplex, Google AutoDQ, Google Pub/Sub, Google Storage, and Google Looker Studio is required.
  • A strong understanding of data security practices, including identity and access management, encryption, and tokenization, is required.
  • Proven experience troubleshooting and optimizing application performance is required.
  • Proven experience mentoring and leading teams is required.
  • A full-time education of 15 years is required.

Responsibilities

  • Develop custom software solutions by designing, coding, and enhancing components across systems or applications, using modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to business needs.
  • Act as a subject matter expert in Google BigQuery and related Google Cloud Platform services.
  • Collaborate with stakeholders to gather requirements and design end-to-end data solutions.
  • Develop and implement batch and streaming data integration pipelines using tools such as Apache Beam (Google Dataflow), Google Cloud Functions, and Google Workflows.
  • Build and optimize semantic models and layers, such as LookerML or Power BI, to enable data visualization with key performance indicators and metrics.
  • Design and implement modern data architectures, including medallion architecture, star and snowflake schemas, and slowly changing dimensions (Type I and II).
  • Ensure data quality, security, and governance by implementing best practices in identity and access management, encryption, tokenization, and native security features such as row-level and column-level security in Google BigQuery.
  • Monitor and optimize data pipelines for performance, cost efficiency, and scalability.
  • Mentor and guide junior team members to enhance their technical skills and knowledge.
  • Stay updated with emerging technologies and evaluate their potential to improve data engineering practices.

Desired Qualifications

  • Teradata BI is listed as a good-to-have skill.

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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