Data Engineer

Description:
·      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