Data Engineer - Associate Manager

Accenture is a leading solutions and services company that helps the world’s leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed across the enterprise, bringing together the talent of our approximately 784,000 people, our proprietary assets and platforms, and deep ecosystem relationships. Our strategy is to be the reinvention partner of choice for our clients and to be the most client-focused, AI-enabled, great place to work in the world. Through our Reinvention Services we bring together our capabilities across strategy, consulting, technology, operations, Song and Industry X with our deep industry expertise to create and deliver solutions and services for our clients. Our purpose is to deliver on the promise of technology and human ingenuity, and we measure our success by the 360° value we create for all our stakeholders. Visit us at accenture.com.​

About the job

As a Data Engineer representing Accenture, you play a central role in elevating various facets of data operations, from optimizing data pipelines to ensuring the seamless flow of information. Your proactive problem-solving approach minimizes disruptions and guarantees the timely execution of data processes. Beyond operational excellence, you actively contribute to the enhancement of data products, collaborating closely with a diverse team of professionals to employ strategic methods for addressing data quality and elevating the overall user experience. Your expertise in data engineering, including proficiency in tools like BigQuery and workflows, contribute to the overall efficiency of the client's data operations, shaping their future through impactful insights and strategic contributions.

Responsibilities

• Analyze raw data to extract meaningful insights and patterns.

• Organize data in a structured manner for efficient utilization.

• Develop and maintain datasets to support various business functions.

• Ensure data integrity, accuracy, and availability.

• Implement strategies to enhance data quality and efficiency.

• Collaborate with cross-functional teams to identify and resolve data quality issues.

• Design, build, and maintain robust data systems and pipelines.

• Implement best practices for data architecture and integration.

• Combine raw information from diverse sources to create a unified dataset.

• Drive batch and streaming integrations between business applications and the data infrastructure.

• Employ ETL principles to streamline data integration processes.

• Optimize ETL workflows to ensure seamless data flow and accessibility.

• Design, build, and manage scalable and efficient data infrastructure on cloud.

• Ensure the security and performance of the data infrastructure.

• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements.

• Collaborate with data governance teams to adhere to best practices and maintain data integrity

• Communicate effectively with team members to ensure alignment on data engineering objectives.

#LI-LATAM

Minimum qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field.

• 7+ years of experience in Data Engineering, including team leadership and people management experience.

• Demonstrated expertise in Advanced SQL, ETL, Data Architecture, and Workflow management

• Experience with cloud-based data warehouses, such as BigQuery.

• Proven stakeholder management and communication skills.

• Advanced English level.

Preferred qualifications

• Experience using Python for optimization. 

• Expertise in crafting advanced SQL queries and optimizing database performance. 

• Experience in data modeling, transforming data and deriving strategic insights.  

• Extensive experience in ETL processes for seamless data movement across systems. 

• Experience with BigQuery for processing and analyzing large datasets. 

• Extensive skills in designing robust structures for efficient data storage and retrieval. 

• Adept at leveraging data visualization tools for seamless data extraction, transformation, and loading. 

• Experience in web analytics. 

• Cloud certifications (Azure, GCP, AWS). 

• Experience analyzing marketing data. 

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 atwww.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, militaryveteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicablelaw. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.