Data Engineer
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In this role you will help lead the reinvention of client systems through advanced data engineering and analytics. You’ll join a specialized team within Accenture Strategy and Consulting, building high-performance data architectures for global clients. You will work on modern data solutions, governance, and integration with legacy sources, while collaborating across cross-functional teams. This opportunity offers hands-on learning, certification paths, and a meaningful impact on how clients leverage data to drive decisions.
Compensaciones / Beneficios- Health, life, and accident insurance
- Medical services and wellness programs
- Flexible compensation and stock purchase plans
- Flexibility programs (working hours, time off, vacation)
- Personalized training paths
- Diversity networks
- Ingest and process data, ensure data quality, and design scalable ETL pipelines using modern technologies
- Develop data models and architecture schemas, including governance policies and data availability for use cases
- Advise and support clients on data processing and management in collaboration with global teams
- Design data architectures for high-performance data management and integration with legacy sources
- Define standards and best practices for new architectures and applications
- Communicate effectively to capture client requirements and translate them into technical solutions
- Contribute to internal networks and initiatives focused on data engineering and analytics
- Improve data reliability, efficiency, and quality through prototypes and proof-of-concepts
- Collaborate with data architects, modelers, and IT teams to achieve project goals
- Advanced programming skills in Python and PySpark (R is a plus)
- SQL and NoSQL technologies
- Big Data technologies like Spark, HDFS, Parquet
- REST APIs knowledge
- Experience with Public Cloud (AWS, Azure, GCP) or Private Cloud (Palantir, Splunk, Cloudera)
- Hands-on Snowflake experience (a plus)
- CI/CD / DevOps exposure (a plus)
- ML/AI/DL with MLOps focus (a plus)
- Experience with Graph Databases (Neo4j) and data modeling
- Education: Bachelor’s or Master’s in Computer Science, Data Engineering, Mathematics, or related field
- English language proficiency
- Pasión por la innovación y aprendizaje continuo
- Buena capacidad de comunicación
- Trabajo en equipo y colaboración con clientes
- Python
- PySpark
- SQL
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