Bring Order to the Data Universe!
We’re on the hunt for a Data Engineer who can make sense of the messy, chaotic world of raw data. If you can structure, optimize, and deliver data that fuels decision-making, apply now and let’s transform the data landscape together!
Key Responsibilities
Data Pipeline Development
- Design, build, and maintain scalable data pipelines.
- Develop ETL processes to extract, transform, and load data from various sources.
Data Integration and Management
- Integrate data from multiple sources to create a unified data environment.
- Ensure data quality and consistency across different systems.
Performance Optimization
- Monitor and optimize the performance of data pipelines and ETL processes.
- Implement best practices for data storage and retrieval.
Collaboration and Communication
- Work closely with data scientists, analysts, and other stakeholders to understand data needs and requirements.
- Collaborate with cross-functional teams to ensure seamless data integration.
Troubleshooting and Support
- Identify and resolve data-related issues and discrepancies.
- Provide support for data-related queries and requests.
Qualifications:
Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, or a related field.
Experience:
- 5+ years of experience in data engineering and ETL development.
- Extensive experience in developing and maintaining data pipelines.
- Proficiency in SQL, SAS, Oracle and other database technologies.
Skills:
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration abilities.
- Knowledge of data modelling, data warehousing, and data integration best practices.
- Preferred Qualifications:
- Experience with cloud platforms such as Azure.
- Familiarity with scripting languages like Python or R.
- Knowledge of data governance and security practices.
Hit apply today!
Desired Skills:
- python
- r
- azure
- sql
- sas
Desired Work Experience:
- 2 to 5 years