
High-Performing Data Engineer Wanted
5 days ago
As a seasoned professional in software and data engineering, you will have the opportunity to utilize your expertise to drive business growth and success. This role requires at least 8 years of relevant working experience in software or data engineering with proficiency in Python.
Key Responsibilities:- Develop and implement unit and integration testing strategies to ensure high-quality software delivery.
- Collaborate with cross-functional teams to design and implement DevOps practices and Agile methodologies.
- Apply strong software engineering, analytical, and problem-solving skills to deliver complex projects.
- Design and implement scalable solutions using AWS and Kubernetes (K8s) infrastructure.
- Work with data platforms such as Snowflake, Apache Spark, or Apache Hive, as well as orchestration tools like Apache Airflow, Dagster, or Prefect.
- Utilize GitHub workflows and Datadog to monitor and improve system performance.
- Proficiency in Python programming language.
- Strong experience in unit and integration testing.
- Familiarity with DevOps practices and Agile methodologies.
- Experience in AWS and Kubernetes (K8s).
- Familiarity with data platforms and orchestration tools.
- Knowledge of GitHub workflows and Datadog.
This role offers the opportunity to work with cutting-edge technologies and collaborate with a talented team of professionals. If you are passionate about software and data engineering, this may be the ideal opportunity for you.
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