About Us:

At Revolt, we are dedicated to leveraging cutting-edge technology and data-driven strategies to drive business growth and innovation. We specialize in transforming raw data into actionable insights, empowering our teams to make informed decisions. We are seeking a talented and experienced Senior Python Data Engineer to join our dynamic team and contribute to our mission.

Job Summary:

As a Senior Python Data Engineer, you will play a critical role in designing, building, and maintaining robust data pipelines and infrastructure. You will work closely with cross-functional teams to ensure the efficient processing, storage, and retrieval of data to support analytics and reporting needs. This position requires expertise in Python, Apache Spark, Google Cloud Platform, Google Data Tools, and the Apache Big Data Stack.

Key Responsibilities:

• Design and implement scalable data pipelines using Python and Apache Spark to process large volumes of data efficiently.

• Develop, test, and maintain ETL processes to extract, transform, and load data from various sources into data warehouses and data lakes.

• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver high-quality data solutions.

• Optimize and tune data processing jobs to improve performance and reduce latency.

• Manage and monitor data workflows on Google Cloud Platform using Google Data Tools and other cloud-based solutions.

• Ensure data quality, integrity, and security throughout all data processing stages.

• Stay up-to-date with the latest industry trends and technologies in data engineering and recommend improvements to existing processes and infrastructure.

• Create and maintain documentation for data engineering processes, workflows, and best practices.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related field.

• Proven experience as a Data Engineer with a strong focus on Python, Apache Spark, and the Apache Big Data Stack.

• Hands-on experience with Google Cloud Platform services such as BigQuery, Dataflow, Dataproc, and Pub/Sub.

• Proficiency in data modeling, ETL processes, and data warehousing concepts.

• Strong understanding of distributed systems and data processing frameworks.

• Experience with version control systems such as Git.

• Excellent problem-solving skills and attention to detail.

• Strong communication skills and ability to work collaboratively in a team environment.

Preferred Qualifications:

• Familiarity with additional programming languages such as Java or Scala.

• Experience with containerization technologies such as Docker and Kubernetes.

• Knowledge of machine learning frameworks and tools.

• Certification in Google Cloud Platform or related technologies.

What We Offer:

• Competitive salary and benefits package.

• Opportunities for professional development and career growth.

• A collaborative and supportive work environment.

• Access to the latest technologies and tools in the field.

How to Apply:

Interested candidates are invited to submit their resume and cover letter to franco@revolt.digital with the subject line “Senior Python Data Engineer Application – [Your Name].” We look forward to reviewing your application and exploring how you can contribute to our team.