Accenture Recruitment Drive; Hiring Data Engineer – Apply Now

As a Data Engineer, you will design, develop, and maintain data solutions for data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across systems. You will play a crucial role in managing and optimizing data infrastructure to support the organization's data needs. Candidates kindly read all the informations given below, before proceed to apply

Name of the Organization: Accenture

Requisition ID: ATCI-4494864-S1808309

Positions: Data Engineer

Location: Chennai

Salary: As per company Norms

Required Qualifications:

• Minimum 0-2 year(s) of experience is required
• Educational Qualification: 15 years full time education

Professional & Technical Skills:

• Proficiency in Google BigQuery.
• Experience with data modeling and database design principles.
• Strong SQL skills for data extraction, transformation, and analysis.
• Knowledge of ETL (extract, transform, load) processes and data integration techniques.
• Familiarity with cloud platforms such as Google Cloud Platform (GCP) or Amazon Web Services (AWS).
• Experience with data visualization tools such as Tableau or Power BI.
• Solid understanding of data privacy and security best practices.
• Experience with data governance and compliance frameworks.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration abilities.

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
• Design and develop data pipelines to extract, transform, and load data across systems
• Ensure data quality and integrity by implementing data validation and cleansing processes
• Optimize data infrastructure and performance to meet the organization's data needs
• Collaborate with cross-functional teams to understand data requirements and provide technical expertise
• Create and maintain documentation for data solutions, including data models, data dictionaries, and ETL processes.

 

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