Senior Data Engineer
1 month ago
About the Role
We are seeking a highly skilled Senior Data Engineer to join our Sales Insights team. As a key member of our team, you will be responsible for designing, developing, and maintaining our data architecture, ensuring scalability, reliability, and performance.
Key Responsibilities
- Lead the design and development of ETL/ELT processes to support Sales' data needs.
- Take ownership of the Sales Insights' data architecture, ensuring it is scalable, reliable, and performs optimally.
- Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
- Mentor and guide team members, fostering a culture of continuous learning and growth.
- Stay up-to-date with emerging technologies and industry trends, advocating for best practices and innovative solutions.
What We Offer
We offer a dynamic and supportive work environment, with opportunities for professional growth and development. Our team is passionate about data-driven decision-making and is committed to delivering high-quality results.
Requirements
- Minimum 5 years of experience in the BI domain, with a focus on data engineering and data warehouse concepts.
- Proficiency in transforming data using ETL/ELT tools, and hands-on experience with the entire pipeline.
- Experience with cloud-based data platforms, preferably Snowflake.
- Proficiency in Python.
- Advanced SQL skills, including performance tuning and optimization.
- Familiarity with big data technologies such as Apache Spark and Kafka.
- Proficiency in data modelling techniques, including dimensional modelling and star schema design.
- Understanding of data governance, data quality management, and data security principles.
- Experience with CI/CD pipelines and DevOps practices.
- Experience in integrating data from various APIs and third-party sources.
- Experience working in an agile environment, with a forward-leaning and collaborative mindset.
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