Data Engineer

• 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.

About the Company

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.