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.
Designing, developing, and optimizing large-scale data pipelines
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
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