Data Engineer

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