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Full-time
bachelor degree
Posted 9d ago
~40 hrs/week
Responsibilities
Design, develop, and maintain comprehensive data solutions including efficient data pipelines and ETL processes. Collaborate with cross-functional teams to monitor data flows and ensure high data quality and reliability.
Requirements
Requires a minimum of 3 years of experience with Apache Airflow and proficiency in designing large-scale data integration processes. Candidates must possess a 15-year full-time educational background.
Full 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 : Apache Airflow 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. This role requires creating efficient data pipelines and ensuring the smooth migration and deployment of data across various systems. The position also involves continuous monitoring and enhancement of data workflows to maintain high data quality and reliability, contributing to the overall data infrastructure that supports organizational needs.
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 solutions. - Monitor and troubleshoot data pipeline issues to ensure uninterrupted data flow. - Document processes and workflows to support knowledge sharing and operational continuity. - Assist junior team members in understanding project requirements and technical challenges.
Professional & Technical Skills: - Must To Have Skills: Proficiency in Apache Airflow. - Experience in designing and implementing ETL processes to handle large volumes of data efficiently. - Strong knowledge of data pipeline architecture and data integration techniques. - Familiarity with data quality assurance practices and monitoring tools. - Ability to optimize workflows for performance and scalability. - Experience working with cloud-based data platforms and storage solutions.
Additional Information: - The candidate should have minimum 3 years of experience in Apache Airflow. - This position is based at our Bengaluru office. - A 15 years full time education is required. Exception – New project15 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.
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Accenture helps the world’s leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed for organizations across industries. Our strategy is to be the reinvention partner of choice for our clients and lead in the safe, widespread adoption of AI, and to be the most client-focused, AI-enabled, great place to work in the world. We bring together the talent of our approximately 786,000 people with proprietary assets and platforms, deep process and industry expertise, and leading ecosystem relationships to deliver end-to-end solutions and measurable outcomes at scale. Through our Reinvention Services, we offer broad expertise across Cybersecurity, Digital Core, Finance, Industry and Enterprise, Song, Supply Chain and Engineering, and Talent, with advanced capabilities in AI and Data, Industry and Process, and Technology. We serve approximately 9,000 clients and generated approximately $70 billion in FY25 revenue. Visit us at accenture.com.
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