Database Engineer
NY
Contracted
Experienced
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
Rate range - $55-$60
- 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
Rate range - $55-$60
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