Data Engineer - job 1 of 2

As a Data Engineer at Apex Systems, your primary responsibilities include designing and implementing robust data migration processes, optimizing ETL/ELT pipelines using Talend, and ensuring secure handling of both structured and unstructured data. You'll collaborate with various stakeholders to develop data strategies while using Qlik Replicate for real-time data migration. Additionally, you’ll conduct testing and troubleshoot issues, ensuring data accuracy and completeness.

To qualify for the Data Engineer position at Apex Systems, candidates need a minimum of three years of experience in data engineering, particularly with data migration and integration projects. A Bachelor's degree in Computer Science or a related field is required, along with a current DoD Secret level Security Clearance. Proficiency in Talend, Qlik Replicate, and familiarity with cloud platforms like Azure or AWS is highly desirable.

The Data Engineer position at Apex Systems offers a competitive salary of $120,000, reflecting the experience and expertise you bring to the role. Beyond the salary, you’ll benefit from a comprehensive benefits package that supports your professional and personal growth.

Data Engineers at Apex Systems primarily work with Talend for ETL processes, Qlik Replicate for data migration and Change Data Capture, and cloud platforms such as Azure and AWS. Additionally, familiarity with SQL and NoSQL databases is crucial for handling both structured and unstructured data effectively.

In the Data Engineer position at Apex Systems, you can expect to travel up to 20% of the time. This travel may involve meeting with stakeholders or attending training and development events, which will occur within the framework of your remotely flexible job schedule.

At Apex Systems, Data Engineers enjoy a collaborative and innovative work environment. While the position allows for remote work during Eastern Standard Time hours, it emphasizes continuous learning, with access to resources for training and development. The company culture promotes teamwork, creativity, and a strong commitment to technological advancement.

Apex Systems is committed to fostering the career growth of its employees. As a Data Engineer, you will have access to training opportunities, certifications, and professional development resources. With a focus on innovation and best practices, employees can take on leadership roles and engage in cross-functional projects that enhance their skills and experience.

When addressing your experience with data migration and integration, focus on specific projects where you utilized Talend or Qlik Replicate. Highlight your role in developing data strategies, the challenges you faced, and how you ensured successful data integration across various platforms.

Explain your approach to maintaining data accuracy during migration, emphasizing the importance of data validation and thorough testing. Discuss any specific methodologies you have employed, such as data profiling and cleansing processes, to ensure high-quality outputs.

Use the STAR method (Situation, Task, Action, Result) to discuss a specific challenging project. Focus on the complexity of the data involved, the solutions you implemented, and the positive outcomes achieved, illustrating your problem-solving skills under pressure.

Talk about your experience working with cloud platforms like Azure or AWS, emphasizing how you utilize these tools for data migration and storage. Highlight specific use cases where cloud computing enhanced your projects' scalability, efficiency, or security.

Discuss your hands-on experience with ETL tools like Talend. Provide insights into how you design and optimize ETL pipelines for batch processing, sharing examples of the challenges you've overcome and the success metrics you achieved.

Mention the resources you utilize to keep abreast of industry trends, such as online courses, webinars, or professional networking. Highlight your passion for continuous learning and how it has positively impacted your work in data engineering.

Discuss your understanding of data governance principles and how you apply them in your work. Outline strategies you use for data accessibility, security, and compliance, emphasizing the importance of adhering to organizational policies and industry standards.

Share your strategies for effective time management, such as prioritizing tasks based on urgency and importance. Provide examples that demonstrate your ability to juggle various projects while maintaining high standards of quality.

Explain your experience with real-time data integration, particularly using tools like Qlik Replicate. Discuss specific scenarios where you successfully implemented Change Data Capture (CDC) to enable real-time data flow and its impact on business decisions.

Detail your systematic approach to problem-solving during data migration processes. Discuss how you identify issues, analyze data discrepancies, propose solutions, and monitor results to ensure a seamless migration experience.