Journal Technologies is looking to solve the problem of seamless data integration and flow of information within the organization to enable data-driven decision-making and extract actionable insights from vast data sources.
Requirements
- Proficiency in ETL tools and technologies (e.g., Informatica, Talend, SSIS).
- Strong SQL skills and experience working with relational databases.
- Familiarity with scripting languages (e.g., Python, Java) and data transformation techniques.
- Knowledge of data modeling, data warehousing, and data governance principles.
- Familiarity with cloud-based data integration tools (e.g., AWS Glue, Azure Data Factory) is a plus.
- Proven experience in a Data Integration Developer or similar role.
- Bachelor's degree in computer science, information technology, or a related field.
Responsibilities
- Data Integration: Develop and implement robust data integration solutions, connecting various data sources and systems to facilitate seamless data exchange.
- ETL Development: Create and manage Extract, Transform, Load (ETL) processes, ensuring data quality, integrity, and alignment with business needs.
- Data Mapping: Collaborate closely with business analysts and stakeholders to define data mapping specifications, ensuring integration efforts are in line with organizational objectives.
- Data Quality Assurance: Implement data validation and quality checks to identify and rectify anomalies, ensuring the accuracy and reliability of integrated data.
- Database Management: Administer and optimize databases used in data integration processes to ensure high performance and availability.
- Custom Scripting: Develop custom scripts and code to support data transformations and automation, optimizing integration workflows.
- Monitoring and Optimization: Continuously monitor data integration processes, identifying opportunities for performance enhancements and efficiency gains.
Other
- Bachelor's degree in computer science, information technology, or a related field.
- Ability to work independently and as part of a team.
- Effective communication and collaboration abilities.
- Detail-oriented with a commitment to data accuracy and quality.
- At this time, we are only able to consider candidates who are Canadian or U.S. citizens or permanent residents due to employment authorization requirements.
