Junior Data Engineer
2 weeks ago
is looking for a Junior Data Engineer to join our Data Engineering team, this role will be responsible for the development, testing, and maintenance of data pipelines and data storage systems on Google Cloud Platform (GCP).
You will be working with technologies such as Apache Airflow, BigQuery, Python, and SQL to transform and load large data sets, ensuring high data quality and accessibility for business intelligence and analytics purposes.
Our business is growing quickly and with that so the scale of our data, we are currently working on several initiatives to improve our data solution and you would become an integral part of this.
Key ResponsibilitiesnDesign, construct, install, test, and maintain data pipelines.nEnsure systems meet business requirements and industry practices for data integrity and quality.nManage ETL and ELT pipelines across many data sources (CSV/parquet files, API endpoints, etc)nDesign and build data models for the business end users.nWrite complex SQL queries for standard as well as ad hoc data retrieval needs.nUse Python for data manipulation and automation tasks.nTroubleshoot and resolve issues within the data pipelines and databases.nParticipate in code reviews, learning from and teaching others to improve team knowledge and practices.
ExperiencenPython3 experience in a business environmentnSQL experience in a business environmentnKnowledge of Data engineering principles and practicesnExperience working in a fast-paced, high-growth environment where requirements can change quicklynUnderstanding of cloud computing ideally GCPnUnderstanding of software development principles and CI/CDnKnowledge of GitnStrong analytical skills and problem-solving attitude.nGood communication and teamwork skills.
- Please note that we operate a hybrid working model of 3 days per week in our office in Southwark, and 2 days from home
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