Manager Data Engineer - AWS Databricks
Manager Data Engineer - AWS Databricks
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Job Description
We are seeking a seasoned Data Engineering Manager with 8 years of experience to lead and grow our data engineering capabilities. This role demands strong hands-on expertise in Python SQL Spark and advanced proficiency in AWS and Databricks. As a technical leader you will be responsible for architecting and optimizing scalable data solutions that enable analytics data science and business intelligence across the organization.
Key Responsibilities:
- Lead the design development and optimization of scalable and secure data pipelines using AWS services such as Glue S3 Lambda EMR and Databricks Notebooks Jobs and Workflows.
- Oversee the development and maintenance of data lakes on AWS Databricks ensuring performance and scalability.
- Build and manage robust ETL/ELT workflows using Python and SQL handling both structured and semi-structured data.
- Implement distributed data processing solutions using Apache Spark/PySpark for large-scale data transformation.
- Collaborate with cross-functional teams including data scientists analysts and product managers to ensure data is accurate accessible and well-structured.
- Enforce best practices for data quality governance security and compliance across the entire data ecosystem.
- Monitor system performance troubleshoot issues and drive continuous improvements in data infrastructure.
- Conduct code reviews define coding standards and promote engineering excellence across the team.
- Mentor and guide junior data engineers fostering a culture of technical growth and innovation.
Qualifications :
Requirements
- 8 years of experience in data engineering with proven leadership in managing data projects and teams.
- Expertise in Python SQL Spark (PySpark) and experience with AWS and Databricks in production environments.
- Strong understanding of modern data architecture distributed systems and cloud-native solutions.
- Excellent problem-solving communication and collaboration skills.
- Prior experience mentoring team members and contributing to strategic technical decisions is highly desirable.
Additional Information :
Our perks and benefits:
Flexible working options to help you strike the right balance.
All the equipment you need to harness your talent (Macbook and accessories).
After office events football tennis and game nights (headquarters).
Learning opportunities:
AWS Certifications (we are AWS Partners).
Study plans courses and other certifications.
English Lessons.
Mentoring and Development opportunities to shape your career path.
Anniversary and birthday Perks
Great location and even greater teammates!
Remote Work :
Yes
Employment Type :
Full-time
Employment Type
Remote
