job description - Data Engineer
- Build data pipelines, architectures and infrastructure
- Clean and process datasets for data science modeling
- Build internal tools to optimize data engineering workflow
- Aggregate disparate datasets for defined use cases
- Support data scientists with data related requirements
Tech Stack:
- SQL, MySQL
- Java
- Python
- C++
- Scala
- Spark
- Hadoop
- Kafka
- Databases: Postgres, MongoDB, Cassandra, Redis, Hive, Storm
- Cloud: AWS/Azure/GCP, EC2, EMR, RDS, Redshift
Requirements
- Bachelor's Degree with 4 years experience.
Skills:
- Database
- Programming
- Querying languages
- Data Pipelines
- Architecture
- Analytics
- Data manipulation, transformation and preprocessing
- Cloud services
- Workflow management
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About the company
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GLODARIS is a global consultancy firm focusing on, Lean Manufacturing Systems, Lean Six Sigma Services, Data and Information Management, Data collection, Bigdata, Geographical Information System, etc.
