Analytics Engineer

Hiring Location: Dubai

Do you have a good grasp on Database or SQL, and enjoy building automation? Come join our fast-growing team! With opportunities in both Singapore and Hong Kong, we’re hiring Analytics Engineers within our Data Science and Analytics team that are an essential conduit to other engineering teams across our consumer-facing company, as well as our Data Insights team.

About the Data Science and Analytics Team

Our team acts as a central nexus to connect various data producers with consumers across the company. Our customers are:

1. Other engineering teams across the company that produce or consume data that need to be combined with other data sources.
2. Analysts within Data Science and Analytics.
3. Business Stakeholders mostly within the Marketing department, up to CMO

We are accountable for delivering:

1. A centralized data platform that enables engineers and analysts across the company to ingest, anonymize, and enrich with other data sources from anywhere else in the company, and to persist, analyze, purge, and otherwise process their data.

Provide fast robust data pipelines feeding reports and Machine learning models

1. Connect data pipelines to internal and external data sources to robust data pipelines
2. Data applications that are focusing on Marketing needs. We do the data heavy lifting to enable the business to make best informed decisions.
3. Data Catalog for documenting the sources of data and what is available for use by other teams.

Our responsibilities include:

1. Building and operating the data platform service, including defining and tracking its SLA.
2. Guiding various engineering teams to design models and schemas of the data to be fed into the platform, making sure they can be processed in a scalable way and used by analysts efficiently.
3. Guiding data analysts on the use of the data platform.
4. Building libraries/modules and reference implementations of data ingesters on several common tech stacks.
5. Guarding user privacy. While all teams are responsible for ensuring compliance of their work with our privacy policy, our team also has a veto right against processing any data that might not be compliant.
6. Partnering with other teams on projects to build data engineering solutions such as for churn-prediction, payment fraud management, and other company-wide challenges.

Other notes about our team:

• Our tech stack currently mostly focuses on Databricks, AWS Redshift, Google BigQuery, Apache Airflow, Apache Spark, Athena, dbt and Tableau
• We have an ever-expanding range of engineering roles on the team, covering people with backgrounds in software development, infrastructure operations, data modeling and data science.

What you’ll do

Your responsibilities will include:

1. Understand the business requirements of your customers, and convert them to well-defined, maintainable and extensible data models.
2. Deliver well-defined, transformed, tested, documented and high-performing data models.
3. Develop orchestration to construct data models in adherence to their SLA and dependencies.
4. Apply engineering best practices to data models.
5. Collaborate with Data Engineers to improve and streamline the data platform.
6. Implement and maintain data quality standards and data governance practices.
7. Maintain data documentation and definitions.
8. Training other members of the organization (data engineers, data analysts, key stakeholders) to ensure they have the skills to effectively navigate, locate, and utilize data within the established data models.

What you’ll bring

• Proficiency in SQL, with a solid understanding in query optimization
• Proficiency in PySpark and Spark SQL
• Proficiency in Databricks
• Proficiency in Data Modelling
• Proficiency in Python
• Experience in Tableau is a big plus
• Experience in working with data warehouses Redshift, BigQuery, Snowflake, etc.
• Experience in data analytics and data visualization tools is a big plus
• Experience in dbt (data build tool) is a big plus
• Good command of written and spoken English
  How we’ll support you

  We believe in fostering an environment that empowers decision-making at all levels. Our culture is rooted in the inverted pyramid approach, where the engineers, who have a deep understanding of the product and the customers, are the ones who have the knowledge and the authority to make impactful decisions. 

  • We prioritize treating every team member with respect and promote open and constructive feedback, ensuring a culture of trust and transparency
  • We encourage learning through experimentation and provide a safe space for everyone to learn from their experiences
  • Our managers are dedicated to facilitating career growth and creating an environment that attracts and supports talented engineers

  
  

  ExpressVPN, a Kape Technologies company, is an equal-opportunity employer. We promote equal recruitment and employment opportunities and do not discriminate based on gender identity and/or expression, age, race, color, disability, culture, religion or belief, family and/or marital status, sexual orientation, or other characteristics protected by applicable law. We celebrate a diverse and inclusive work environment in which applicants and employees are treated with respect and dignity and excel based on personal merit, qualifications, experience, and performance.