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Accenture

Advises businesses and runs their technology

Cloud Platform Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeMumbai, Maharashtra, IndiaNo salary listed

About the Job

Requirements

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

Responsibilities

  • Design, build, test, and deploy cloud application solutions that integrate cloud and non-cloud infrastructure.
  • Deploy infrastructure and platform environments, and create proofs of architecture to test architecture viability, security, and performance.
  • 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, for data visualization with KPIs and metrics.
  • Design and implement modern data architectures, including medallion architecture, star and snowflake schemas, and slowly changing dimensions (Types I and II).
  • Implement best practices for data quality, security, and governance, including identity and access management, encryption, tokenization, and BigQuery row-level and column-level security.
  • 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

  • Python programming language.
  • Google Dataflow.

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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