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, No

SQL, and PySpark, with a deep focus on performance tuning and data quality. Expertise in Snowflake for modern data warehousing and analytics, coupled with robust Dev Ops 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, Postgre

SQL), No

SQL (Mongo

DB, Cassandra), Snowflake Big Data Tools:
Spark, Hadoop, Hive Dev Ops & 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

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.