BENGALURU · FULLTIME
Data Engineer
Accenture
Bengaluru · onsite · Posted 50d ago
Sourced from
Undisclosed6–11 yrsfulltimeBengaluru
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Section · 01
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 Engineering
Good to have skills : NA
Minimum 15 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 and ensuring the integrity and quality of data throughout its lifecycle. The position also involves implementing processes to extract, transform, and load data efficiently across various systems, enabling seamless data migration and deployment. Collaboration with different teams to align data strategies and optimize data infrastructure is an integral part of daily activities.
Roles Responsibilities:
- Expected to be a SME with deep knowledge and experience.
- Should have Influencing and Advisory skills.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Expected to provide solutions to problems that apply across multiple teams.
- Lead the design and implementation of scalable data architectures to support business needs.
- Mentor junior team members and facilitate knowledge sharing within the team.
Professional Technical Skills:
- Must To Have Skills: Proficiency in Data Engineering.
- Strong expertise in building and optimizing data pipelines and workflows.
- Experience with data integration and ETL tools to manage data migration and transformation.
- Knowledge of data storage solutions, including relational and non-relational databases.
- Familiarity with cloud platforms and distributed computing frameworks to handle large-scale data processing.
- Ability to ensure data quality, consistency, and security throughout the data lifecycle.
- The candidate should have minimum 6 years of experience in Data Engineering.
- This position is based at our BDC11 - SEZ 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 Engineering
Good to have skills : NA
Minimum 15 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 and ensuring the integrity and quality of data throughout its lifecycle. The position also involves implementing processes to extract, transform, and load data efficiently across various systems, enabling seamless data migration and deployment. Collaboration with different teams to align data strategies and optimize data infrastructure is an integral part of daily activities.
Roles Responsibilities:
- Expected to be a SME with deep knowledge and experience.
- Should have Influencing and Advisory skills.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Expected to provide solutions to problems that apply across multiple teams.
- Lead the design and implementation of scalable data architectures to support business needs.
- Mentor junior team members and facilitate knowledge sharing within the team.
Professional Technical Skills:
- Must To Have Skills: Proficiency in Data Engineering.
- Strong expertise in building and optimizing data pipelines and workflows.
- Experience with data integration and ETL tools to manage data migration and transformation.
- Knowledge of data storage solutions, including relational and non-relational databases.
- Familiarity with cloud platforms and distributed computing frameworks to handle large-scale data processing.
- Ability to ensure data quality, consistency, and security throughout the data lifecycle.
- The candidate should have minimum 6 years of experience in Data Engineering.
- This position is based at our BDC11 - SEZ office.
- A 15 years full time education is required.
Qualification
15 years full time education
Sourced from naukri
Section · 02
Skills
data qualityData Engineercloud platformsetl toolsdata storagedata infrastructuredistributed computingdeploymentGoogle DataFlowData EngineeringData MigrationcloudData IntegrationData ProcessingETLData Pipeline
Section · Company
About Accenture

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