Pay: 60-70/hr Need locals as in-person Interview is mandate Skills Required: - Strong proficiency in Python with experience developing production-grade data processing pipelines. - In-depth knowledge of database concepts, SQL queries, and stored procedures. - Familiarity with various databases like DB2, Greenplum, Snowflake, PostgreSQL, KDB, and SingleStore. - Expertise in Artifactory, Pandas, NumPy and object-oriented programming in Python. - Strong data analytics skills and ability to identify data issues easily. - Working knowledge of Unix and handling files in various formats like CSV and JSON. - Experience with handling messages on Kafka. - Knowledge of Git repositories, Jira tracking, and job scheduling tools like Autosys. - Proficiency in writing unit tests (e.g., using pytest). - Self-starter with the ability to work in a fast-paced environment and manage multiple projects. - Finance data domain knowledge is preferred. Good to Have: - Working in some Data Quality related infrastructure - Knowledge of anomaly detection algorithms and techniques, particularly isolation forest, clustering, time series analysis, and pattern mining - Understanding of model performance monitoring, model debugging, and logging systems - Some experience with containerization and deployment of ML services in enterprise environments