Role at a glance
- Job function
-
AI & Data Data Engineering
- Salary
- Not Disclosed
- Location
- Pune
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- minimum 5 years of experience in PySpark
- Education
- 15 years full time education
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We’ll check it against the original posting.
Role Summary
The Data Engineer designs, develops, and maintains data solutions for data generation, collection, and processing. The role supports data migration and deployment across systems while collaborating with multiple teams to optimize data workflows and meet organizational data needs.
What You'll Do
- Create and maintain data pipelines for data generation, collection, and processing.
- Implement ETL processes to migrate and deploy data across systems.
- Lead efforts to optimize data pipeline performance and scalability.
- Provide solutions to problems for the immediate team and across multiple teams.
- Coordinate cross-functional communication to align data engineering efforts with business objectives.
- Mentor junior team members to enhance their technical skills and project contributions.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Must have proficiency in PySpark; experience building and managing scalable data pipelines and workflows; knowledge of data processing frameworks and distributed computing; ability to troubleshoot and optimize complex data processing tasks; familiarity with data storage solutions and data integration techniques; understanding of data quality assurance and validation methods.
Required
- PySpark
- Building and managing scalable data pipelines and workflows
- Data processing frameworks and distributed computing
- Troubleshooting and optimizing complex data processing tasks
- Data storage solutions and data integration techniques
- Data quality assurance and validation methods
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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 : PySpark
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 includes creating efficient data pipelines and ensuring the integrity and quality of data throughout its lifecycle. The position requires implementing processes to extract, transform, and load data, facilitating seamless migration and deployment across various systems. The work environment encourages collaboration with multiple teams to optimize data workflows and support organizational data 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 efforts to optimize data pipeline performance and scalability.
- Mentor junior team members to enhance their technical skills and project contributions.
- Coordinate cross-functional communication to align data engineering efforts with business objectives.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in PySpark.
- Experience in building and managing scalable data pipelines and workflows.
- Strong knowledge of data processing frameworks and distributed computing.
- Ability to troubleshoot and optimize complex data processing tasks.
- Familiarity with data storage solutions and data integration techniques.
- Understanding of data quality assurance and validation methods.
Additional Information:
- The candidate should have minimum 5 years of experience in PySpark.
- This position is based at our Pune 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.
About the company
Accenture
Large Enterprise
Accenture is a global professional services company that specializes in providing consulting, technology, and outsourcing services. With a diverse range of industries served, including financial services, healthcare, and telecommunications, Accenture leverages advanced technologies and data analytics to help organizations improve their performance and drive innovation. Committed to sustainable progress, the company emphasizes its dedication to inclusivity, digital transformation, and building a more sustainable future for its clients and communities. With a presence in over 120 countries, Accenture is known for its expertise in integrating cutting-edge solutions that address complex business challenges.