yoinka

Data Engineer

Accenture

Hyderabad, IndiaFull TimeMidH-1B sponsor company
Sign in to applyVerified
Location
Hyderabad, India
Employment
Full Time
Work model
On-Site
Level
Mid
H-1B history
998 approvals (FY2023)
Posted

About this role

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 integrity and quality of data throughout its lifecycle. The position also involves implementing processes to extract, transform, and load data, facilitating seamless migration and deployment across various systems. Collaboration with different teams to align data strategies and optimize workflows is an integral part of daily activities, ensuring that data infrastructure supports organizational 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 development and optimization of data pipelines to support business requirements. - Coordinate cross-functional efforts to ensure data solutions are scalable and maintainable. - Mentor junior team members to foster skill development and knowledge sharing. - Drive continuous improvement initiatives to enhance data processing efficiency and reliability. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Engineering. - Experience with designing and implementing ETL processes to handle large volumes of data efficiently. - Strong knowledge of data warehousing concepts and architecture. - Familiarity with cloud-based data platforms and tools for data storage and processing. - Ability to work with various data formats and ensure data quality and consistency. - Experience in scripting and automation to streamline data workflows. Additional Information: - The candidate should have minimum 5 years of experience in Data Engineering. - This position is based at our Hyderabad 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

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