Data Analytics Engineer
- Design and build data pipelines to process data from our systems, services and applications.
- Implement monitoring and alerting frameworks to ensure data pipeline performance and reliability.
- Partner with other analytics engineers to design and implement scalable data models that support downstream business operations and analytical queries.
- Ensure data governance and security standards are maintained across our systems.
- Continuously evaluate and implement new technologies to improve our platform and systems.
- Collaborate with Finance stakeholders to translate business requirements into technical specifications and Service Level Agreements.
- 2+ years of experience in an analytics engineering or data engineering role with a focus on large scale data transformation and data warehousing.
- Excellent SQL coding skills.
- Experience with cloud-based data warehouse technologies such as Snowflake, Google BigQuery, or AWS Redshift.
- Experience with data transformation tools such as dbt, or Dataflow.
- Understanding of data modeling techniques.
- Experience with using visualisation platforms such as Looker, Tableau, or Apache Superset.
- Understanding of software engineering best practices and their application to data processing systems.
- Knowledge of Python, Java or Flink is a plus, but not a necessity.
- Strong attention to detail.
- Ability to work autonomously in a fast-paced and dynamic environment.
- Strong communication and interpersonal skills.
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