Data Engineer
Accenture · Bengaluru · onsite · Posted 65d ago
Not disclosed8–10 yrsfulltimeSourced from
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About this role
Project Role : Data Engineer
Project Role Description : 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.
Must have skills : Google BigQuery
Good to have skills : NA
Minimum 7.5 Year(s) Of Experience Is Required
Educational Qualification : 15 years full time education
Summary:
As a Data Engineer, a typical day involves designing, developing, and maintaining comprehensive data solutions that support data generation, collection, and processing activities. The role includes creating efficient data pipelines and ensuring the integrity and quality of data throughout its lifecycle. Additionally, the position requires implementing processes to extract, transform, and load data, facilitating smooth migration and deployment across various systems. This role demands continuous collaboration with different teams to optimize data workflows and support organizational data needs effectively.
Roles & Responsibilities:
Project Role Description : 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.
Must have skills : Google BigQuery
Good to have skills : NA
Minimum 7.5 Year(s) Of Experience Is Required
Educational Qualification : 15 years full time education
Summary:
As a Data Engineer, a typical day involves designing, developing, and maintaining comprehensive data solutions that support data generation, collection, and processing activities. The role includes creating efficient data pipelines and ensuring the integrity and quality of data throughout its lifecycle. Additionally, the position requires implementing processes to extract, transform, and load data, facilitating smooth migration and deployment across various systems. This role demands continuous collaboration with different teams to optimize data workflows and support organizational data needs effectively.
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 efforts to optimize data pipeline performance and scalability.
- Mentor junior team members to enhance their technical skills and project contributions.
- Coordinate cross-functional initiatives to align data engineering efforts with business objectives.
- Must To Have Skills: Proficiency in Google BigQuery.
- Experience in designing and managing scalable data pipelines and ETL workflows.
- Strong knowledge of data modeling, data warehousing concepts, and database management.
- Ability to troubleshoot and optimize complex data processing tasks.
- Familiarity with cloud-based data platforms and integration techniques.
- The candidate should have minimum 8 years of experience in Google BigQuery.
- This position is based at our BDC7A - SEZ office.
- A 15 years full time education is required.
Sourced from foundit
Skills
bigqueryDatabase ManagementCloud-based data platformsData WarehousingETLData Modeling
About Accenture

Accenture
IT Services & Consulting
350k+
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1989
37 years old
Dublin
Ireland
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Accenture plc is an Irish-American, professional services company based in Dublin, specializing in information technology services and consulting.
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