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Accenture PLC in Mexico is seeking a data engineering professional to collaborate across teams, manage data projects on the Databricks platform, and drive scalable, production-ready data solutions. You will contribute to ingestion, quality assurance, transformation, and optimization while adopting modern cloud architectures.
You will participate in international projects and benefit from continuous training and cutting-edge technologies, with career development aligned to your profile and
DARE TO BE A PART OF THE CHALLENGE! COME AND JOIN OUR TEAM TOGETHER WE CAN MAKE THE DIFFERENCE! Did you know that Accenture is leading the digital transformation in the World? Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. Our main purpose is to collaborate with our clients, so they can become high-performance businesses. Accenture is present in more than 200 cities, 49 countries and approximately 732,000 employees worldwide.
Accenture does not discriminate based on race, religion, color, sex, age, disability, nationality, sexual orientation, gender identity or expression, or for any other reason covered by local law.
You will collaborate and manage the team to perform effectively, engage with multiple teams, and contribute to key decisions. You will provide solutions to challenges for your immediate team and across multiple teams, all while embracing the advanced capabilities of the Databricks Platform. Join us in shaping impactful outcomes and making a meaningful difference. Develop reusable workflows that include data ingestion, quality assurance, transformation, and optimization. Build scalable data pipelines using extract, transform, and load tools. Deploy data solutions into production environments ensuring reliability and efficiency. Migrate data from legacy data warehouses by applying cloud architecture principles. Automate data flows to support seamless data consumption. Design and implement business processes that support data governance. Advise on data quality rules and establish effective data compliance policies.