Job Title: Senior Java Data Engineer (Azure / Databricks / Spark)
Location: 100% Remote (Must work CST Time Zone)
Job Type: Contract
Job Description
We are seeking a Senior Java Data Engineer with experience in Azure, Databricks, and Apache Spark to work on analytics and data processing for large-scale datasets.
The role will focus on processing historical data using Spark and developing reusable Java libraries that can be used across multiple data engineering workflows. The candidate will work with datasets that have been pre-processed using streaming frameworks such as Apache Flink.
Required Skills
• Strong Java development experience
• Experience with Azure Cloud services
• Hands-on experience with Databricks
• Strong experience with Apache Spark for historical data processing and analytics
• Experience building Java libraries or frameworks for data processing
• Experience working with large-scale distributed data platforms
Responsibilities
• Develop reusable Java libraries for data engineering pipelines
• Process and analyze historical data using Apache Spark
• Build and optimize data pipelines using Databricks and Azure
• Work with datasets processed by real-time streaming frameworks (Flink)
• Ensure scalability, reliability, and performance of data processing systems
Nice to Have
• Azure DevOps
• Apache Flink
• Azure Event Hub
• Azure IoT
Interested candidates, please share your resumes to recruiters at 4aitservices dot com
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