

Database Developer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Database Developer with a contract length of "unknown" and a pay rate of $60-70/hr. Requires strong Python skills, SQL knowledge, familiarity with various databases, and finance data domain knowledge. On-site work is mandatory.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
June 27, 2025
π - Project duration
Unknown
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ποΈ - Location type
On-site
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
New York, NY
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π§ - Skills detailed
#Data Quality #SQL (Structured Query Language) #Time Series #Kafka (Apache Kafka) #Artifactory #Unix #Databases #Pytest #ML (Machine Learning) #Logging #Debugging #JSON (JavaScript Object Notation) #NumPy #Data Processing #SQL Queries #Anomaly Detection #Programming #Deployment #PostgreSQL #Snowflake #Pandas #Jira #Python #Greenplum #GIT #Monitoring #Clustering
Role description
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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