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Data Engineer
2 months ago
Deputy is a global SaaS workforce management company that empowers businesses to build thriving workplaces. With a presence in 100+ countries and serving over 330,000 workplaces, Deputy is headquartered in Sydney, San Francisco, and London, backed by top investors and recently surpassing $100m in annual recurring revenue.
The RoleWe are seeking an experienced Analytics Engineer to join our team. As an Analytics Engineer, you will work closely with Data Engineering and Analytics teams to enhance our data and analytics ecosystem. With a focus on scalable design, you will be instrumental in building and optimizing the key components of our data infrastructure to support company growth.
Responsibilities- Design and optimize data pipelines and architectures using Databricks Data Warehouse to ensure scalability and reliability for large data volumes.
- Collaborate with Data Engineering to build infrastructure for data extraction, transformation, and loading using SQL and AWS big data technologies.
- Utilize dbt to create and maintain efficient data models, transforming raw data into actionable insights for key stakeholders.
- Develop advanced analytics solutions, including machine learning models and predictive analytics, to support data-driven decision-making.
- Work closely with cross-functional teams, including Data Scientists, Engineers, and Product Managers, to deliver data solutions that align with business objectives.
- Establish best practices for data quality, governance, and security to maintain the integrity of our data assets.
- Provide mentorship and share expertise on analytics and data engineering best practices with team members.
- Stay informed on emerging technologies and techniques in data engineering and analytics to drive innovation.
- Advocate for data-driven decision-making by promoting the value of data across teams and fostering collaboration.
- 2-3 years of experience in a technical analytics or data engineering role, with a strong background in Computer Science, Information Systems, or a related field.
- Expertise in SQL and relational databases, with experience working on data modeling and query authoring.
- Skilled in using dbt for data modeling and transformation, with a focus on building efficient data pipelines.
- Experience in applying advanced analytics techniques, such as machine learning and predictive modeling, to real-world challenges.
- Proficiency in using analytical tools and libraries like Pandas, NumPy, and Scikit-learn for data analysis and model development.
- Working knowledge of stream processing and scalable data stores.
- Solid understanding of data management principles, governance best practices, and regulatory requirements.
- Ability to communicate technical insights to non-technical stakeholders, driving alignment on data initiatives.
You are a skilled engineer who enjoys working on data systems, building them from scratch, and optimizing existing ones. As an Analytics Engineer, you will collaborate with software developers, data architects, analysts, and data scientists on data-driven projects. You are comfortable supporting various teams, systems, and products, and motivated to improve or re-design our company's data infrastructure to enable the next generation of products and analytics initiatives.
We do not discriminate on the basis of gender identity, sexual orientation, cultural identity, disability, age, or any other non-merit factors. To put it simply, Deputy is for everyone.
