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Data Engineer
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Job Description
Company: Accenture
Website: Visit Website
Business Type: Enterprise
Company Type: Service
Business Model: B2B
Funding Stage: IPO/Public
Industry: Information Technology
Salary Range: 18-30 Lacs PA
Job Description
As a Data Engineer, you will design, develop, and maintain data solutions that facilitate 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 various systems, contributing to the overall efficiency and effectiveness of data management within the organization.
Roles & Responsibilities
Website: Visit Website
Business Type: Enterprise
Company Type: Service
Business Model: B2B
Funding Stage: IPO/Public
Industry: Information Technology
Salary Range: 18-30 Lacs PA
Job Description
As a Data Engineer, you will design, develop, and maintain data solutions that facilitate 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 various systems, contributing to the overall efficiency and effectiveness of data management within the organization.
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.
- Mentor junior team members to enhance their skills and knowledge in data engineering.
- Must To Have Skills: Proficiency in AWS Analytics.
- Strong understanding of data pipeline architecture and design.
- Experience with ETL processes and tools.
- Familiarity with data warehousing concepts and technologies.
- Knowledge of data quality frameworks and best practices.
- The candidate should have minimum 7.5 years of experience in AWS Analytics.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.
More Info
Key Skills
AWS Analytics
data pipeline architecture and design
ETL processes and tools
data warehousing concepts and technologies
data quality frameworks and best practices


