Highly Skilled Data Engineer
2 days ago
As a seasoned data professional, you will play a pivotal role in the delivery of scalable data architectures and product development & design best practices. Your expertise will be invaluable in leading collaborations across data disciplines to develop, optimize, and maintain data pipelines and solutions.
- You will facilitate team-based problem-solving sessions and contribute to the development of best practices.
- Initiate and nurture effective working relationships with stakeholders, providing technical recommendations while mentoring early-career engineers.
- Owning the delivery of allocated initiatives within specified scope, time, and resources.
The ideal candidate will possess an all-of-business mindset, accompanied by high levels of personal integrity and accountability. They should be skilled in distilling business and analytics requirements into well-defined engineering problems, leveraging experience in architecting, building, and integrating with RESTful APIs and microservices architectures.
- Proficiency in containerization platforms (e.g., Docker) and CI/CD pipelines.
- Data engineering experience grounded in the basics of an analytical discipline.
- Skills in designing and building software/pipelines using cloud services such as AWS EC2, Glue, Lambda, SNS, SQS, IAM, ECS, or equivalent.
- Demonstrated experience with distributed technologies and data-intensive processing frameworks (e.g., Airflow, HDFS, Spark, EMR).
- Proficiency in at least two programming languages (e.g., Python, Spark, Scala).
This role offers an exceptional opportunity to apply your expertise, driving innovation and growth in a dynamic environment.
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