Data Engineer – AIML Pipelines
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Job Location:
Seffner, FL - USA
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Job Summary (List Format):
- Develop backend services and APIs for Warehouse Management Systems (WMS).
- Build ETL/ELT pipelines using Azure Data Factory and Databricks.
- Implement CI/CD processes instrumentation and observability for applications.
- Prepare and manage datasets for AI/ML and predictive analytics initiatives.
- Ensure data quality through validation anomaly detection and lineage tracking.
- Utilize programming languages such as Python C#/.NET and Java for application development.
- Work with advanced SQL and distributed data systems.
- Leverage cloud platforms (Azure) Databricks and orchestration tools.
- Design APIs and implement microservices architectures.
- Collaborate with data scientists BI developers and platform engineers to optimize data pipelines and applications.
- Preferred: Bachelors degree in Computer Science or related field.
- Required: 8 years of experience in software development or data engineering.
- Proficiency in Python SQL and C#.
- Familiarity with WMS/logistics systems.
- Preferred: Certifications in Azure or Data Engineering.
- Must be local to the area; hybrid work arrangement.
- No sponsorship available; contract-to-hire (CTH) role.
- Develop backend services and APIs for Warehouse Management Systems (WMS).
- Build ETL/ELT pipelines using Azure Data Factory and Databricks.
- Implement CI/CD processes instrumentation and observability for applications.
- Prepare and manage datasets for AI/ML and predictive analytics initiatives.
- Ensure data quality through validation anomaly detection and lineage tracking.
- Utilize programming languages such as Python C#/.NET and Java for application development.
- Work with advanced SQL and distributed data systems.
- Leverage cloud platforms (Azure) Databricks and orchestration tools.
- Design APIs and implement microservices architectures.
- Collaborate with data scientists BI developers and platform engineers to optimize data pipelines and applications.
- Preferred: Bachelors degree in Computer Science or related field.
- Required: 8 years of experience in software development or data engineering.
- Proficiency in Python SQL and C#.
- Familiarity with WMS/logistics systems.
- Preferred: Certifications in Azure or Data Engineering.
- Must be local to the area; hybrid work arrangement.
- No sponsorship available; contract-to-hire (CTH) role.
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
