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Data Engineer Melza | Página de carrera
Data Engineer
Descripción del puesto
Data Engineer
Primary mission
As a Senior Data Engineer, you will contribute to bring data analytics to production at scale.
Establish the core discipline and guidelines. Taking part on data teams building data platforms and data products.
Core activities
Data Platform, provision infrastructure for other teams to work with.
Data Pipelines Development (Batch + Real Time pipelines)
Data Operations (Exploring, Provisioning, Cleansing and Testing)
Technical stack
Languages (required)
Python, SQL
Languages (appreciated)
Java, .NET and others
Experience with Data Ops, infrastructure as Code (Terraform, Ansible, etc)
Experience in data architecture design (Data lakes, Data Warehousing, Event
Streams. Etc)
Big Data Frameworks
Spark, Kafka, Kubernetes, Hive.. strongly appreciated
experience with Databricks.
Data Base
relational (SQL Server) & non-relational (MongoDB, ELK,
Cassandra)
Experience working in cloud environments (Azure appreciated)
Experience in Agile methodology.
As a bonus, knowledge in Machine Learning tools (Scikit-Learn, Pandas, Spark
ML, MLflow)
Soft skills and competencies
Passion for learning new tools, languages and frameworks
Ability to be creative and innovation-minded, self-motivated and proactive.
Fast adaptation to changing requirements and strong problem-solving skills.
To work in a collaborative model, side by side with the business
Experience
MSs degree in Computer Science, Engineering, or related field
4+ years experience in software development & Data Frameworks
Proven experience in setting up data infrastructures from scratch
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- X (Formerly Twitter)
Skills
- Python
- SQL
- Java
- .NET
- Terraform
- Ansible
- Spark
- Kafka
- Kubernetes
- Hive
- Databricks
- SQL Server
- MongoDB
- ELK Stack
- Cassandra
- Azure
- Machine Learning
- scikit-learn
- Pandas
- MLflow
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