Company Description
McEasy, a transportation management solution to simplify complex logistics operations. is looking for a Data Engineer to join our ever-growing team.
If you are a keen learner, self-driven, and looking to be a part of a team that is passionate with helping each other, we want to hear from you.
Job Description
- Design, develop, and optimize ETL pipelines to extract data from various sources, transform it into usable formats, and load it into our data warehouse.
- Collaborate with cross-functional teams to understand data requirements and implement solutions that meet business needs.
- Ensure data quality, integrity, and consistency by implementing best practices in data validation, cleansing, and transformation.
- Monitor and troubleshoot ETL processes to ensure data is accurate, timely, and reliable.
- Develop and maintain documentation for ETL processes, data flows, and data models.
- Identify opportunities to improve existing ETL processes and implement enhancements for scalability and performance.
- Work with data analysts and data scientists to provide them with the necessary data for reporting and analysis.
Qualifications
- Bachelor’s degree in Computer Science, Information Technology, or a related field.
- Min. 5 years of experience in Data Engineering field
- Proven experience as a Data Engineer or in a similar role, with a focus on ETL processes.
- Strong proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL).
- Experience with ETL tools and technologies (e.g., Apache Airflow, Talend, Informatica).
- Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and data warehousing solutions (e.g., Redshift, BigQuery, Snowflake).
- Proficiency in programming languages such as Python or Java.
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration skills.