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Job 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 : Databricks Unified Data Analytics Platform
Good to have skills : NA
Minimum 7.5 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. The role includes creating efficient data pipelines and ensuring the integrity and quality of data throughout its lifecycle. You will be responsible for implementing processes that enable smooth migration and deployment of data across various systems, collaborating with different teams to align data strategies with organizational goals. This position requires a proactive approach to managing data workflows and optimizing system performance to support business needs effectively.
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 evolving business requirements.
- Facilitate knowledge sharing and mentoring within the team to enhance overall technical capabilities.
- Coordinate cross-functional efforts to ensure seamless integration of data systems and processes.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.
- Experience in building and optimizing data pipelines and workflows using modern data engineering tools and frameworks.
- Strong understanding of data modeling, data warehousing concepts, and ETL best practices.
- Familiarity with cloud-based data platforms and distributed computing environments.
- Ability to troubleshoot and resolve complex data processing issues to maintain data accuracy and availability.
Additional Information:
- The candidate should have minimum 7.5 years of experience in Databricks Unified Data Analytics Platform.
- This position is based at our Mumbai 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 : Databricks Unified Data Analytics Platform
Good to have skills : NA
Minimum 7.5 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. The role includes creating efficient data pipelines and ensuring the integrity and quality of data throughout its lifecycle. You will be responsible for implementing processes that enable smooth migration and deployment of data across various systems, collaborating with different teams to align data strategies with organizational goals. This position requires a proactive approach to managing data workflows and optimizing system performance to support business needs effectively.
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 evolving business requirements.
- Facilitate knowledge sharing and mentoring within the team to enhance overall technical capabilities.
- Coordinate cross-functional efforts to ensure seamless integration of data systems and processes.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.
- Experience in building and optimizing data pipelines and workflows using modern data engineering tools and frameworks.
- Strong understanding of data modeling, data warehousing concepts, and ETL best practices.
- Familiarity with cloud-based data platforms and distributed computing environments.
- Ability to troubleshoot and resolve complex data processing issues to maintain data accuracy and availability.
Additional Information:
- The candidate should have minimum 7.5 years of experience in Databricks Unified Data Analytics Platform.
- This position is based at our Mumbai 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.