Data Engineer Automation Controls
A USD 110K-160K (estimate) Mid-level Full Time
Tasks
- Build data APIs and data delivery services
- Build data pipeline frameworks for real time delivery
- Collaborate with product owners and customers to deliver data products
- Continuously integrate and deploy code to cloud production
- Define and improve internal software architecture processes
- Design and deploy production data pipelines with Hadoop tools
- Design robust systems for long term maintenance
- Develop cloud based applications using modern technology stack
- Handle mutable data in Hadoop
- Implement machine learning with PySpark
- Leverage reusable code modules
- Support and enhance anomaly detection machine learning platform
- Transform analytical models into production solutions
- Troubleshoot JVM issues
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Amazon S3 | Angular | Anomaly Detection | Apache Airflow | Apache Beam | Apache Kafka | Apache NiFi | Apache Spark | Avro | Cassandra | Continuous integration | Elasticsearch | Git | Google Cloud | HBase | HDFS | Hadoop | Hadoop YARN | Hive | JVM | Java | Jenkins | Machine Learning | MongoDB | Neo4j | NoSQL | Node.js | ORC | Parquet | PySpark | Python | React | SAS | SQL | Scala | Shell Scripting | TDD | Unit Testing | Version control
Education
Roles
Regions
Countries
States
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