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Data Engineer

Lead design and implement scalable Azure data architectures for enterprise data
Hyderābād, Telangāna, India
Senior
21 hours agoBe an early applicant
Accenture

Accenture

Global professional services firm providing strategy, consulting, digital, technology, and operations services to enterprises and governments worldwide.

Data Engineer

Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.

Minimum 7.5 year(s) of experience is required. Educational Qualification: 15 years full time education.

As a Data Engineer, a typical day involves designing, developing, and maintaining comprehensive data solutions that support the generation, collection, and processing of data. The role includes creating efficient data pipelines and ensuring the integrity and quality of data throughout its lifecycle. You will be responsible for implementing processes that enable smooth migration and deployment of data across various systems, collaborating with different teams to meet project goals and optimize data workflows. This position requires a proactive approach to managing data infrastructure and supporting organizational data needs.

Roles & Responsibilities:

  • Expected to be an SME, collaborate and manage the team to perform.
  • Responsible for team decisions.
  • Engage with multiple teams and contribute on key decisions.
  • Provide solutions to problems for their immediate team and across multiple teams.
  • Lead the design and implementation of scalable data architectures to support business requirements.
  • Coordinate with stakeholders to understand data needs and translate them into technical solutions.
  • Mentor junior team members to enhance their skills and support their professional growth.

Professional & Technical Skills:

  • Proficiency in Microsoft Azure Data Services.
  • Experience with cloud-based data storage and processing solutions.
  • Strong knowledge of data pipeline development and ETL processes.
  • Familiarity with data integration, transformation, and migration techniques.
  • Ability to optimize data workflows for performance and scalability.
  • Understanding of data governance and quality assurance practices.

This position is based at our Hyderabad office.

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Data Engineer
Hyderābād, Telangāna, India
Engineering
About Accenture
Global professional services firm providing strategy, consulting, digital, technology, and operations services to enterprises and governments worldwide.