DATA ENGINEER/OPS F/H

At RCA, the Data Engineer/Ops is responsible for deploying data pipelines, processing data in batch mode, and establishing continuous data flows. You'll collaborate with data analysts and development teams to implement ETL processes and create data architectures that support our software solutions.

The ideal candidate for the Data Engineer/Ops position at RCA should have strong knowledge of data ingestion and preparation pipelines, proficiency in Python, and experience with cloud technologies like AWS and Snowflake. Additionally, good communication skills and a proactive approach are essential.

RCA offers a modern work environment with flexible schedules, possibilities for remote work, and a supportive team culture. We believe in maintaining a healthy work-life balance, providing benefits like RTT days, and celebrating milestones with team-building events and gift vouchers.

We utilize a cutting-edge technology stack at RCA for our Data Engineering efforts, including tools like Airflow for ELT processes, Python for development, and AWS for cloud services, along with Snowflake for data storage. This allows for a dynamic workflow and innovative problem-solving.

RCA's recruitment process is designed to be simple and transparent. It begins with an initial phone call followed by an interview to meet your potential colleagues. We ensure to provide feedback at each stage, emphasizing a friendly and engaging hiring experience.

Describe specific projects where you've designed or improved data pipelines. Highlight your understanding of both batch and real-time data processing, and mention any tools you used, such as Airflow, as well as the impact your pipelines had on data accessibility.

Discuss your strategies for data validation, transformation, and monitoring. You can mention writing unit tests in Python and implementing logging mechanisms to quickly identify issues within data flows.

Share your familiarity with AWS services relevant to data engineering, such as S3 for storage, RDS for databases, and any practical experiences utilizing these services in previous roles.

Explain how you've used Terraform to manage infrastructure as code (IaC), making deployments repeatable and scalable in cloud environments, and discuss any specific examples where IaC improved your workflow.

Describe your collaborative approach with data analysts, focusing on how you gather requirements, provide necessary environments, and ensure they have the right data to utilize effectively for analytics.

Provide a specific example, detailing the challenge, your approach to solving it, and the outcome. This demonstrates your problem-solving skills and resilience.

Discuss your commitment to continuous learning and staying updated with industry trends, whether through online courses, attending conferences, or participating in relevant communities.

Share your familiarity with Agile practices if applicable. Discuss how you have contributed to Scrum teams or participated in sprint planning while ensuring deliverables align with overall project timelines.

Explain your interest in RCA’s innovative approach to data solutions, your enthusiasm for working with an experienced team, and how the company’s values align with your career goals.

Outline your approach to prioritization, incorporating methods you use to evaluate urgency, impact, and resource allocation, especially in a fast-paced environment like RCA.