Data Engineer

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.

Summary: As a Data Engineer, a typical day involves designing, developing, and maintaining robust data solutions that support the generation, collection, and processing of data. This role includes creating efficient data pipelines, ensuring the accuracy and quality of data, and implementing processes to extract, transform, and load data across various systems. Collaboration with different teams to support seamless data flow and integration is a key part of daily activities. 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. - Facilitate communication and coordination among team members to ensure project goals are met effectively. - Support continuous improvement initiatives by identifying opportunities to optimize data workflows and processes. - Mentor and guide team members to enhance their skills and promote knowledge sharing. - Monitor project progress and address any challenges that arise to maintain timely delivery. Professional & Technical Skills: - Required Skill: Expert proficiency in PySpark. - Additional Good To Have Skills: Experience with Databricks Unified Data Analytics Platform. - Strong knowledge of distributed computing frameworks and big data processing techniques. - Experience in building scalable and reliable data pipelines for large datasets. - Familiarity with data integration, transformation, and cleansing methodologies. - Ability to optimize performance of data processing jobs and troubleshoot complex issues. Additional Information: - The candidate should have minimum 3 years of experience in PySpark. - This position is based at our Manila office. Minimum 3 year(s) of experience is required

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 

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