Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.

Summary: As a Data Platform Engineer, you will spend your day supporting the development and design of the data platform architecture. Your role involves working closely with various architects to ensure seamless integration of systems and data models. You will engage in collaborative efforts to align platform components and contribute to the overall data strategy, ensuring that the platform meets organizational needs efficiently and effectively. Roles & Responsibilities: - Serve as a subject matter expert (SME) for AWS Glue-based data integration and ETL solutions. - Design, develop, maintain, and optimize ETL/ELT pipelines using AWS Glue, Python, PySpark, and other AWS data services. - Develop reusable frameworks, utilities, and automation solutions to improve data engineering efficiency and reliability. - Troubleshoot and resolve complex data processing, performance, and integration issues across multiple environments. - Monitor, tune, and optimize data pipelines to meet performance, scalability, and cost-efficiency requirements. - Work with AWS services such as S3, Glue Data Catalog, Lambda, IAM, CloudWatch, Step Functions, and Redshift to build end-to-end data solutions. - Support CI/CD implementation, code reviews, testing, and deployment activities for data engineering solutions. Professional & Technical Skills: - Required Skill: AWS Glue, Python, and PySpark for large-scale data processing. - Experience working with AWS services including S3, Lambda, IAM, CloudWatch, Step Functions, and Redshift. - Strong knowledge of SQL and relational databases. - Experience designing and implementing data pipelines, data lakes, and data warehousing solutions. - Understanding of data modeling, data quality frameworks, and data governance principles. - Experience with source control, CI/CD pipelines, and Agile development methodologies. - Strong analytical, problem-solving, and communication skills. - Ability to work independently while collaborating effectively with multiple teams and stakeholders. Additional Information: - More than 3 years of hands-on experience in data engineering, ETL development, or cloud-based data integration. - This position is based at our Manila office. Minimum 2 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.

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