Data Engineer
Accenture · Bengaluru · onsite · Posted 49d ago
Undisclosed5–10 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 : Data Modeling Techniques and Methodologies
Good to have skills : NA
Minimum 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 the generation, collection, and processing of data. This role requires building and managing data pipelines to facilitate smooth data flow across various systems. The position also involves ensuring the accuracy and integrity of data by implementing robust processes for data migration and deployment. Collaboration with different teams to align data strategies and optimize data handling is a key aspect of daily activities, contributing to the overall efficiency and reliability of data infrastructure.
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 needs.
- Oversee the continuous improvement of data processing workflows to enhance performance and reliability.
- Mentor junior team members to foster skill development and knowledge sharing.
- Coordinate cross-functional efforts to ensure seamless integration of data systems and tools.
Professional Technical Skills:
- Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies.
- Experience in designing and optimizing data pipelines and ETL processes.
- Strong knowledge of data warehousing concepts and best practices.
- Ability to work with large datasets and ensure data quality and consistency.
- Familiarity with database management systems and data integration tools.
- Skilled in troubleshooting and resolving data-related issues efficiently.
- The candidate should have minimum 5 years of experience in Data Modeling Techniques and Methodologies.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.
Qualification
15 years full time education
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 : Data Modeling Techniques and Methodologies
Good to have skills : NA
Minimum 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 the generation, collection, and processing of data. This role requires building and managing data pipelines to facilitate smooth data flow across various systems. The position also involves ensuring the accuracy and integrity of data by implementing robust processes for data migration and deployment. Collaboration with different teams to align data strategies and optimize data handling is a key aspect of daily activities, contributing to the overall efficiency and reliability of data infrastructure.
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 needs.
- Oversee the continuous improvement of data processing workflows to enhance performance and reliability.
- Mentor junior team members to foster skill development and knowledge sharing.
- Coordinate cross-functional efforts to ensure seamless integration of data systems and tools.
Professional Technical Skills:
- Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies.
- Experience in designing and optimizing data pipelines and ETL processes.
- Strong knowledge of data warehousing concepts and best practices.
- Ability to work with large datasets and ensure data quality and consistency.
- Familiarity with database management systems and data integration tools.
- Skilled in troubleshooting and resolving data-related issues efficiently.
- The candidate should have minimum 5 years of experience in Data Modeling Techniques and Methodologies.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.
Qualification
15 years full time education
Sourced from naukri
Skills
data qualityData Engineerdata systemsdata infrastructuredata handlingETL ProcessesDatabase ManagementdeploymentGoogle DataFlowData MigrationData WarehousingData IntegrationData ProcessingETLData ModelingData Pipeline
About Accenture

Accenture
IT Services & Consulting
350k+
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1989
37 years old
Dublin
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