Senior Data Engineer

Who you are

You have 5+ years of experience in data engineering, with a strong background in designing and implementing data architectures that are both scalable and efficient. Your expertise in Python and SQL allows you to manipulate and analyze large datasets effectively, ensuring data quality and integrity. You are familiar with cloud platforms, particularly AWS, and understand how to leverage services like S3, Redshift, and Lambda to build robust data solutions. Your experience with Apache Spark enables you to process large volumes of data quickly, and you are comfortable working with containerization technologies like Docker and orchestration tools such as Kubernetes.

You thrive in collaborative environments and enjoy working alongside machine learning engineers and application developers. Your communication skills allow you to articulate complex technical concepts to non-technical stakeholders, ensuring alignment across teams. You are proactive in identifying opportunities for optimization and are always looking for ways to enhance data workflows and processes. You understand the importance of data governance and are committed to implementing best practices in data management.

Desirable

Experience with data visualization tools like Tableau or Power BI is a plus, as it allows you to present data insights effectively. Familiarity with machine learning concepts can enhance your contributions to projects that involve predictive analytics or data-driven decision-making. You are open to learning new technologies and methodologies, and you embrace challenges as opportunities for growth.

What you'll do

As a Senior Data Engineer at Provectus, you will be responsible for designing and optimizing data pipelines that support various business functions. You will collaborate with a multidisciplinary team to understand data requirements and translate them into technical specifications. Your role will involve building ETL processes that ensure data is collected, transformed, and made available for analysis in a timely manner. You will also work on implementing data quality checks and monitoring systems to maintain the integrity of the data.

You will participate in architecture discussions and contribute to the design of data solutions that align with the company's strategic goals. Your insights will help shape the direction of data initiatives, and you will have the opportunity to mentor junior data engineers, sharing your knowledge and best practices. You will also engage with stakeholders to gather feedback and iterate on data solutions, ensuring they meet the evolving needs of the business.

What we offer

At Provectus, we offer a dynamic work environment where innovation is encouraged. You will have the opportunity to work on cutting-edge projects that leverage the latest technologies in data engineering and machine learning. We value professional development and provide resources for continuous learning, including access to training programs and industry conferences. Our team is diverse and inclusive, fostering a culture of collaboration and respect. We believe in work-life balance and offer flexible working arrangements to support your personal and professional commitments.