Data Analytics Engineer
Data Analytics Engineer
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Job Description
You will be joining the Financial Infrastructure team responsible for building and maintaining the core systems powering our internal financial ecosystem. Every year we process hundreds of billions of events that have a financial impact on Checkout.com and our merchants. Our team is responsible for maintaining an accurate record of all financial data the data integrity of our systems and ensuring our infrastructure meets regulatory and compliance obligations in a scalable reliable and faulttolerant manner.
As an Analytics Engineer you will play a pivotal role in our mission to make our financial data capabilities worldclass. You will work closely with our Finance and Treasury teams to translate their requirements into robust and intuitive data models. You will design and build the data pipelines necessary to process and transform large amounts of data that our systems generate. You will be responsible for ensuring the accuracy and reliability of these data pipelines as Checkout continues to scale as a business. You will have ownership over these processes allowing you to take charge in maintaining a high standard of data quality.
How youll make an impact
- 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.
Qualifications :
- 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 cloudbased 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 fastpaced and dynamic environment.
- Strong communication and interpersonal skills.
Additional Information :
Apply without meeting all requirements statement
If you dont meet all the requirements but think you might still be right for the role please apply anyway. Were always keen to speak to people who connect with our mission and values.
We believe in equal opportunities
We work as one team. Wherever you come from. However you identify. And whichever payment method you use.
Our clients come from all over the world and so do we. Hiring hardworking people and giving them a community to thrive in is critical to our success.
When you join our team well empower you to unlock your potential so you can do your best work. Wed love to hear how you think you could make a difference here with us.
We want to set you up for success and make our process as accessible as possible. So let us know in your application or tell your recruiter directly if you need anything to make your experience or working environment more comfortable. Well be happy to support you.
Take a peek inside life at Checkout.com via
- Our Culture video
- Our careers page
- Our LinkedIn Life pages bit.ly/3OaoN1U
- Our Instagram
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
