> job detail
A
👽Other
Data Engineer
Accenture · Bengaluru
// classified as
Other (Adjacent or hard to classify.)
posted
1d ago
location
Bengaluru
languages
—
tools
—
> description
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 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 creating efficient data pipelines and ensuring the seamless migration and deployment of data across various systems. The position demands continuous attention to data quality and the implementation of processes that facilitate the smooth extraction, transformation, and loading of data. Collaboration with different teams to align data workflows and optimize system performance is also a key aspect of daily activities, contributing to the overall data infrastructure and operational success.
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 development and optimization of data pipelines to support business needs.
- Ensure adherence to data governance and compliance standards within the team.
- Mentor junior team members to foster skill development and knowledge sharing.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Data Engineering.
- Strong experience in designing and implementing scalable data pipelines and ETL processes.
- Familiarity with data storage solutions and database management systems.
- Ability to work with large datasets and ensure data quality and integrity.
- Experience with cloud-based data platforms and distributed computing frameworks.
- Knowledge of scripting and programming languages commonly used in data engineering.
Additional Information:
- The candidate should have minimum 5 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 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 creating efficient data pipelines and ensuring the seamless migration and deployment of data across various systems. The position demands continuous attention to data quality and the implementation of processes that facilitate the smooth extraction, transformation, and loading of data. Collaboration with different teams to align data workflows and optimize system performance is also a key aspect of daily activities, contributing to the overall data infrastructure and operational success.
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 development and optimization of data pipelines to support business needs.
- Ensure adherence to data governance and compliance standards within the team.
- Mentor junior team members to foster skill development and knowledge sharing.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Data Engineering.
- Strong experience in designing and implementing scalable data pipelines and ETL processes.
- Familiarity with data storage solutions and database management systems.
- Ability to work with large datasets and ensure data quality and integrity.
- Experience with cloud-based data platforms and distributed computing frameworks.
- Knowledge of scripting and programming languages commonly used in data engineering.
Additional Information:
- The candidate should have minimum 5 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.