Data Engineer

We’re looking for a dynamic Data Engineer to take the lead in designing and implementing advanced data architectures that power our analytics and decision-making. Join our collaborative team to shape the future of data infrastructure, tackle exciting challenges, and make a real impact with your expertise.

What You'll Do:

• Lead the development and implementation of data solutions, including data warehousing, ETL pipelines, and data lakes;
• Design and build data pipelines and infrastructure that enable efficient processing, storage, and analysis of large volumes of data;
• Collaborate with data team and other business stakeholders to understand data requirements and design solutions that meet their needs;
• Collaborate closely with System Engineers, DBAs, and DevOps teams to align data infrastructure with overall company architecture;
• Work with software engineers to integrate data pipelines and infrastructure into larger software systems;
• Monitor, maintain, and troubleshoot existing data pipelines and solutions to ensure continuous, reliable data flow and system performance;
• Optimize data processing and storage systems for performance and scalability;
• Implement and maintain data security and privacy measures to protect sensitive data;
• Develop and maintain documentation for data pipelines, infrastructure, and processes;
• Stay up-to-date with emerging trends and technologies in the data engineering field and recommend new tools and techniques to improve our data solution

Who You Are:

• At least 3 years of experience in data engineering or a related field;
• Expertise in SQL, Spark/Python or other data processing technologies;
• Experience designing and building data pipelines and infrastructure using cloud platforms such as AWS, GCP or Azure;
• Strong understanding of data warehousing, ETL, and data lake architecture and design principles;
• Experience with data streaming technologies such as Apache Kafka, Apache Flink, or similar tools for real-time data processing.
• Experience with relational database technologies such as MySQL, PostgreSQL, or Oracle;
• Experience with data modeling and schema design;

Tech stack:

• Google cloud;
  • BigQuery;
  • Composer / Airflow;
  • DataProc / Spark;
  • DataFlow / Beam
  • PubSub;
  • Cloud Functions;
• Debezium
• Languages: Python, some Scala and Java, SQL;
• Infrastructure tools like Terraform, k8s, Grafana.

Encouragement to Apply:

We understand that confidence gaps and imposter syndrome can deter amazing candidates from applying. Please apply anyway — we’d love to hear from you.