Analytics Engineer

Responsibilities: * Develop and maintain our data infrastructure and architecture, including data lake and data lakehouse, ensuring scalability and efficiency. * Capture and translate complex business flows into comprehensive data models, keeping long-term business objectives in mind. * Develop and implement strategies to make key operational metrics readily available to each business area, enabling data-driven decision making. * Seek and implement the simplest yet most reliable solutions that require minimal maintenance, demonstrating a strong understanding of cost-effectiveness and efficiency. * Prioritize the reliability and monitoring of the data infrastructure, ensuring data integrity and availability. * Develop insightful analysis, visualizations, and dashboards that drive the business forwards, using data to tell compelling stories.

Qualifications:

• 3+ years of experience in data engineering and analytics engineering, with a proven track record of delivering reliable Data solutions working at scale.

• 3+ years of hands-on experience with AWS Cloud, leveraging Data services such as Glue, Athena, DMS, Redshift, AWS Lambda. AWS certification is a plus. (Equivalent experience in other platforms is acceptable).

• Proven experience with DevOps techniques (CICD, multiple environments, infrastructure as code), with a strong understanding of best practices and emerging trends.

• Fluent with python

• Strong analytical skills with a demonstrated ability to translate data into actionable insights.

• Proficiency in data visualization tools and techniques is required.

• Excellent communication skills, with the ability to effectively convey complex data concepts to non-technical stakeholders.

Personal Qualities:

• Growth mindset, continuous learner

• First principles person

• Team player, biased towards delivering value in every interaction