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Programmers.io is seeking an experienced Data Engineer in the United States to design, develop, and optimize large-scale data pipelines using Java-based ecosystems.
You will work with structured and unstructured data using SQL, NoSQL, and PySpark, with a strong focus on performance tuning and data quality to ensure robust production systems. Snowflake for warehousing and strong DevOps/CI/CD practices support smooth development and deployment.
Experienced Data Engineer with a strong foundation in Java-based ecosystems and a proven track record in designing, developing, and optimizing large-scale data pipelines.
Adept in handling both structured and unstructured data using a combination of SQL, NoSQL, and PySpark, with a deep focus on performance tuning and data quality.
Expertise in Snowflake for modern data warehousing and analytics, coupled with robust DevOps and CI/CD practices to ensure smooth development and deployment workflows.
Demonstrated ability to provide end-to-end production support, ensuring data pipeline reliability, uptime, and scalability.
Designing, developing, and optimizing large-scale data pipelines
Languages & Frameworks: Java, Python, PySpark
Big Data Tools: Spark, Hadoop, Hive
Performance Tuning: SQL query optimization, job parallelism, resource allocation
Production Support: Monitoring, alerting, incident response, root cause analysis