DARE TO BE A PART OF THE CHALLENGE! COME AND JOIN OUR TEAM TOGETHER WE CAN MAKE THE DIFFERENCE!
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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 offices, 120 cities, 56 countries and approximately 743,000 employees worldwide.
Offer
- Career development according to your profile and interests.
- Work in one of the best companies and feel proud.
- Access to an innovative methodology and tools.
- Direct contact with experts worldwide.
- Use of work schemes and cutting-edge technologies.
- Constant training.
- Work environment based on teamwork and collaboration.
- Participation in International Projects
Capability
AI&Data
Perfil
Senior Data Engineer
CL
10
Path
Reinvention Services > Technology > ATC Global Network > ATC - Americas > ATC - Monterrey > AI & Data > Data & Analytics
Descripción
We are looking for a Senior Data Engineer with a strong background in cloud-native data platforms (AWS and/or GCP) and a passion for building scalable, high-performance data solutions. If you enjoy working in complex environments, optimizing data pipelines, and mentoring others while continuously learning, this role is an excellent opportunity to make an impact.
Key Responsibilities
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Design and implement scalable ETL/ELT pipelines and end-to-end data workflows.
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Build and operate data solutions in AWS and/or GCP environments (e.g., S3, Glue, EMR, Redshift, BigQuery, Dataflow, etc.).
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Develop and optimize Spark-based processing (PySpark, Spark SQL, DataFrames).
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Write efficient and optimized SQL queries for large-scale data processing.
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Implement robust data transformation and modeling logic to support analytics and reporting needs.
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Ensure data quality through profiling, validation, and monitoring.
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Contribute to data cataloging, lineage, and governance practices.
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Collaborate with distributed teams to deliver high-quality, production-ready data solutions.
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Provide technical guidance and mentorship to junior engineers.
What We’re Looking For
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3+ years of hands-on experience in data engineering roles, working with modern cloud platforms (AWS and/or GCP).
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Strong experience with Spark and Python for data processing.
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Solid understanding of distributed systems and big data architectures.
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Proven experience building and maintaining complex ETL/ELT pipelines.
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Hands-on experience with data lakes, data warehouses, and modern data stack tools.
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Strong analytical and problem-solving skills.
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Ability to lead initiatives and collaborate across teams.
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Proactive mindset with a strong interest in learning and adopting new technologies.
Why Join Us?
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Work on large-scale, cloud-native data solutions using modern technologies.
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Opportunities for technical leadership and career growth.
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Continuous learning environment with support for certifications and upskilling.
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Collaborative and innovative team culture with global exposure.
