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 3 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 support data-driven initiatives and continuous improvement of data infrastructure are integral parts of the daily responsibilities.
Roles & Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Collaborate with cross-functional teams to understand data requirements and deliver scalable data solutions.
- Monitor and optimize data workflows to enhance performance and reliability.
- Document data processes and maintain clear communication channels within the team.
- Support junior team members by sharing knowledge and assisting with technical challenges.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies.
- Strong knowledge of database design principles and data warehousing concepts.
- Experience with building and managing ETL pipelines to handle large volumes of data.
- Familiarity with data quality assurance practices and data governance standards.
- Ability to work with various data storage technologies and optimize data retrieval.
- Understanding of data integration and migration strategies across heterogeneous systems.
Additional Information:
- The candidate should have minimum 3 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.
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 3 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 support data-driven initiatives and continuous improvement of data infrastructure are integral parts of the daily responsibilities.
Roles & Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Collaborate with cross-functional teams to understand data requirements and deliver scalable data solutions.
- Monitor and optimize data workflows to enhance performance and reliability.
- Document data processes and maintain clear communication channels within the team.
- Support junior team members by sharing knowledge and assisting with technical challenges.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies.
- Strong knowledge of database design principles and data warehousing concepts.
- Experience with building and managing ETL pipelines to handle large volumes of data.
- Familiarity with data quality assurance practices and data governance standards.
- Ability to work with various data storage technologies and optimize data retrieval.
- Understanding of data integration and migration strategies across heterogeneous systems.
Additional Information:
- The candidate should have minimum 3 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.
15 years full time education
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us at www.accenture.com
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We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
