Data Engineer
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 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. The role includes creating efficient data pipelines to facilitate smooth data flow, ensuring the accuracy and reliability of data, and implementing processes to extract, transform, and load data across various systems. This position requires continuous collaboration with different teams to optimize data handling and support organizational data needs effectively.
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 troubleshoot data pipelines to ensure uninterrupted data flow and timely resolution of issues.
- Document data processes and workflows to maintain clarity and support knowledge sharing within the team.
- Assist junior team members by providing guidance and support to foster their professional growth.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Data Engineering.
- Strong knowledge of data pipeline architecture and data integration techniques.
- Experience with database management and data warehousing solutions.
- Familiarity with cloud platforms and distributed computing frameworks.
- Ability to optimize data workflows for performance and scalability.
- Understanding of data quality assurance and validation methods.
Additional Information:
- The candidate should have minimum 3 years of experience in Data Engineering.
- 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 Engineering
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. The role includes creating efficient data pipelines to facilitate smooth data flow, ensuring the accuracy and reliability of data, and implementing processes to extract, transform, and load data across various systems. This position requires continuous collaboration with different teams to optimize data handling and support organizational data needs effectively.
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 troubleshoot data pipelines to ensure uninterrupted data flow and timely resolution of issues.
- Document data processes and workflows to maintain clarity and support knowledge sharing within the team.
- Assist junior team members by providing guidance and support to foster their professional growth.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Data Engineering.
- Strong knowledge of data pipeline architecture and data integration techniques.
- Experience with database management and data warehousing solutions.
- Familiarity with cloud platforms and distributed computing frameworks.
- Ability to optimize data workflows for performance and scalability.
- Understanding of data quality assurance and validation methods.
Additional Information:
- The candidate should have minimum 3 years of experience in Data Engineering.
- 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
Equal Employment Opportunity Statement
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.
Data & ML pay context
Based on 1,359 disclosed Data & ML salaries on RoleSuite, the role pays a median of $165K/year, with most offers between $128K and $209K (10th–90th percentile: $106K–$246K).
See the full Data & ML salary breakdown →