Data Integration Professional
2 days ago
GAIUS HYPERLOCAL PRIVATE LIMITED is seeking a highly skilled Data Integration Professional to join our team. As a Data Integration Professional, you will be responsible for designing, developing, and implementing efficient data integration solutions using various tools and technologies.
This is a contractual role for 6 months, offering a competitive salary of $80,000 - $100,000 per year, depending on experience. The ideal candidate will have a strong background in software development, data analysis, and data engineering, with expertise in Python, SQL, and Big Data concepts.
Key Responsibilities:
- Select and integrate data tools and frameworks to provide requested capabilities.
- Provide technical guidance to software engineers in designing, coding, reviewing, and testing enterprise software.
- Collaborate with Data Scientists, Data Engineers, and Software Engineers to develop QA tests to validate data and models.
- Implement ETL processes.
- Monitor performance and recommend infrastructure changes as needed.
- Define data retention policies.
- Collaborate with the recruitment team for hiring.
Requirements:
- Experience creating detailed and comprehensive test suites using Python.
- Proficiency in writing complex SQL queries for data extraction or validation.
- Strong understanding of Big Data concepts and NoSQL databases (preferred).
- Expertise in writing Hive QL and Spark QL queries.
- Hands-on experience with data testing tools like DBT, iCEDQ, QuerySurge, Denodo, Informatica, etc.
- Good understanding of QE testing types for data quality.
- Experience in troubleshooting applications and managing the defect lifecycle.
- Ability to test software and complete UAT in an Agile environment.
- Expertise in continuous automation for increased test coverage and efficiency.
- Proactive and reactive support in deployments and production environments.
- Proficiency in Linux or Unix environments.
- Strong debugging skills.
- Ability to resolve cluster operating issues.
- Experience integrating data from multiple sources.
- Knowledge of BI tools like Power BI and Tableau (preferred).
- Experience with messaging systems like Kafka or RabbitMQ.
- Strong analytical and excellent communication skills.
- Mandatory Skills:
- Python
- Advanced SQL queries
- Big Data concepts
- NoSQL databases
- Hive QL, Spark QL
- Data testing tools: DBT, iCEDQ, QuerySurge, Denodo, Informatica, etc.
- Linux or Unix
- Messaging systems: Kafka or RabbitMQ
The ideal candidate should possess excellent problem-solving skills, strong analytical and communication skills, and be able to work effectively in a team environment. If you're a motivated and detail-oriented professional looking for a challenging role, please submit your application.
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