- Managing scalability, security and efficiency of data analytics platform
- Designing, building, and providing maintenance of data lake and data warehouse
- Collaborating with business stakeholders to design, document, and implement robust, scalable data models that accurately reflect complex business processes.
- Building and optimizing data pipelines to transform raw data into actionable insights.
- Designing, Implementation and optimization of GraphQL or RESTful APIs
- Fine-tuning query performance and ensuring efficient use of our data warehouse infrastructure.
- Ensuring data reliability, accuracy, and quality through rigorous testing, monitoring, and adherence to standards.
- Assisting in the migration from batch processing systems to real-time streaming systems with minimal disruptions (planned for the near future).
- Expanding support for various use cases, including business intelligence, data science, machine learning, and client-facing analytics.
- Handling sensitive data with the utmost care and ensuring compliance with data protection regulations.
- 5+ years experience in Data Engineering, Backend Engineering, Platform Engineering or a similar role
- Previous experience building data lakes
- Familiary with data concepts for storing and processing alrge volumes of data
- Experience with real-time and streaming data technologies (Apache Spark, Apache Kafka, Apache Flink)
- Advanced knowledge of SQL, OLAP databases and Data Warehouse architecture (eg. Redshift, Bigquery, Snowflake)
- Proficiency in software development and object oriented programming (We use Python)
- Experience with data processing, transformation and orchestration tools (Airflow, Prefect, dbt)
- Advanced knowledge of SQL, OLAP databases and Data Warehouse architecture (eg. Redshift, Bigquery, Snowflake)
- Proficiency in software development and object oriented programming (We use Python)
- Familiarity with Cloud Services (we use AWS)
- Expert-level knowledge of SQL (our current stack uses Redshift).
- Experience with streaming technologies (e.g., Kinesis) and processing frameworks (e.g., Apache Flink or Spark).
- Familiarity with CI/CD and Infrastructure tools such as Terraform
- Experience with Docker or Kubernetes
- Stock options that ensure your share in our success
- Extensive medical, dental, and vision insurance to ensure you’re feeling great physically and mentally
- Learning and Development & Health and Sports budget that you are free to tailor to your own needs
- Four weeks of fully paid sabbatical leave after reaching your 5th work anniversary

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