Data Engineering
Descripción De La Posición
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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 390,000 employees worldwide.
As Data Engineer you will design and build systems for collecting, storing, and analyzing data at scale. You will be responsible for developing, testing, and maintaining data pipelines and data architectures.
Responsibilities
- Conduct complex data analysis and report on results.
- Explore ways to enhance data quality and reliability.
- Automate manual processes, by creating and maintaining optimal data pipeline architecture, optimize data delivery, and re-design infrastructure for greater scalability
- Build data systems and pipelines required for optimal extraction, transformation, and loading of data from a wide variety of data sources.
- Collaborate with data scientists and architects on several projects to create analytics tools to provide actionable insights.
Requisitos
Skills
- 3-9 years of experience in ETL processes or Data visualization.
- SQL skills including queries, stored procedures, triggers and high availability design
- Experience in some or several of the following technologies/skills:
- ETL Tools: Informatica PowerCenter, Talend, SSIS, Pentaho
- RDBMS
- Cloud Platforms: Amazon Web Services, Google Cloud Platforms, Azure
- Data Visualization: Tableau, Power BI, QuickSight, Qlik
- Data Governance
- Data Modeling
- Programming skills: Python, Scala
- Critical and analytical thinking.
- Leadership and effective communication skills.
- Advanced English level.
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.