Data Engineer

Position:

Data Engineer Location:

Lake marry, FL(onsite Role )

Job Summary:

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.

Languages & Frameworks:

Java, Python, PySpark Databases:

SQL (Oracle, PostgreSQL), NoSQL (MongoDB, Cassandra),

Snowflake Big Data Tools:

Spark, Hadoop, Hive DevOps & CI/CD:

Git, Jenkins, Docker, Kubernetes, Terraform, Airflow Cloud:

AWS / Azure (as applicable)

Performance Tuning:

SQL query optimization, job parallelism, resource allocation

Production Support:

Monitoring, alerting, incident response, root cause analysis