Data Scientist and Engineer
Há 1 mês
At PALO IT, we're looking for a skilled Data Engineer to join our team. As a Data Engineer, you'll play a critical role in supporting and enhancing a data-driven culture throughout the organization.
Main Responsibilities
- Maintain and develop the data flow on the Big Data platform.
- Design and build robust and scalable data pipelines.
- Integrate and manage large volumes of data from various sources.
- Develop and optimize data processing jobs using Hadoop, Spark, and other related tools.
- Configure and maintain workflow orchestration tools like Apache Airflow.
- Ensure data quality, integrity, and security.
- Collaborate with multidisciplinary teams to identify data requirements and provide appropriate technical solutions.
Requirements
- Degree in Computer Science, Computer Engineering, or a related field.
- Demonstrable experience using Hadoop, Sqoop, Spark, Airflow, Avro, Python, ELK, Oracle Database, PostgreSQL, and Hive.
- Strong knowledge of relational and non-relational databases.
- Experience in implementing and maintaining data pipelines in Big Data environments.
- Programming skills in Python.
- Knowledge of log monitoring and analysis tools like ELK.
- Ability to solve complex problems and work independently and as part of a team.
- Good communication skills and ability to document technical processes.
What We Offer
- Stimulating working environments.
- Unique career path.
- International mobility.
- Internal R&D projects.
- Knowledge sharing.
- Personalized training.
- Entrepreneurship & intrapreneurship.
About PALO IT
We're a global innovation consultancy and Agile software development company dedicated to helping organizations embrace tech as a force for good. We work with clients to rapidly launch products and services, create new business models, leadership, and culture for the future. We're committed to helping businesses transform our world for the better. We're proud to be a World Economic Forum (WEF) New Champion and a B Corp-certified company in México, Singapore, and Hong Kong, currently working towards certification across all other locations.
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