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Title
Text copied to clipboard!Senior Data Engineer
Description
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We are looking for a Senior Data Engineer to join our dynamic team and lead the development and optimization of our data infrastructure. As a Senior Data Engineer, you will be responsible for designing, building, and maintaining scalable data pipelines and systems that support our organization's data needs. You will work closely with data scientists, analysts, and other stakeholders to ensure data is accessible, reliable, and secure. Your expertise will be crucial in driving data-driven decision-making and enabling advanced analytics across the company. In this role, you will have the opportunity to work with cutting-edge technologies and contribute to the strategic direction of our data initiatives. You will be expected to have a deep understanding of data engineering best practices, including data modeling, ETL processes, and data warehousing. Additionally, you will be responsible for mentoring junior data engineers and collaborating with cross-functional teams to deliver high-quality data solutions. The ideal candidate will have a strong background in computer science, excellent problem-solving skills, and a passion for working with large datasets. If you are a proactive and innovative data engineer with a track record of delivering impactful data solutions, we would love to hear from you.
Responsibilities
Text copied to clipboard!- Design and implement scalable data pipelines.
- Optimize and maintain data infrastructure.
- Collaborate with data scientists and analysts.
- Ensure data quality and reliability.
- Mentor junior data engineers.
- Develop and enforce data engineering best practices.
- Work with cross-functional teams to deliver data solutions.
- Contribute to strategic data initiatives.
Requirements
Text copied to clipboard!- Bachelor's degree in Computer Science or related field.
- 5+ years of experience in data engineering.
- Proficiency in SQL and Python.
- Experience with cloud platforms (AWS, GCP, Azure).
- Strong understanding of ETL processes.
- Excellent problem-solving skills.
- Experience with big data technologies (Hadoop, Spark).
- Strong communication and collaboration skills.
Potential interview questions
Text copied to clipboard!- Can you describe your experience with data pipeline design?
- How do you ensure data quality in your projects?
- What big data technologies have you worked with?
- How do you approach mentoring junior team members?
- Can you provide an example of a challenging data engineering problem you solved?
