IQ Spaces is seeking a Senior Data Engineer to enhance their data architecture and ensure data reliability. This role is ideal for someone with strong technical skills and a passion for mentoring others.
As a Senior Data Engineer at IQ Spaces, you will be responsible for designing and maintaining scalable data solutions that support analytics and reporting. Your work will directly influence the data architecture and ensure that data is reliable and accessible for decision-making across the organization. You will collaborate with data analysts, scientists, and business stakeholders to deliver effective data solutions that meet various needs.
In this role, you will: • Design, build, and maintain data pipelines and ETL/ELT processes. • Develop and optimize data architectures and storage solutions. • Ensure data quality and governance across systems. • Monitor and improve the performance and reliability of data pipelines. • Mentor junior engineers and lead best practices in data engineering.
The ideal candidate will have over five years of experience in data engineering, with strong skills in Python, SQL, and cloud platforms like Azure, AWS, or GCP. Familiarity with data warehousing solutions and ETL/ELT tools is essential. You should also have a solid understanding of data modeling and big data tools. A leadership mindset and excellent communication skills are crucial, as you will be guiding junior team members and collaborating with various stakeholders.
This position is perfect for someone who thrives in a remote work environment and is eager to stay updated with emerging data technologies. If you are passionate about data quality and enjoy mentoring others, this role could be a great fit for you.
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