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Job summary
A forward-thinking company in the United Kingdom is seeking a talented Data Engineer to design and implement robust ETL pipelines. You will work with modern cloud technologies on AWS, leveraging PySpark, Python, and SQL to handle large data sets. This role offers a collaborative environment where you can make a real impact. If you have experience with cloud-native solutions and CI/CD, apply to join a team that drives data-informed decisions.
Qualifications
Strong experience with PySpark and AWS.
Proven background building and maintaining ETL pipelines.
Solid programming ability in Python, SQL, and Spark.
Responsibilities
Designing and implementing robust ETL pipelines to move and transform data.
Building cloud-native solutions on AWS to ensure reliability.
Working with PySpark, Python, and SQL to process datasets efficiently.
Skills
PySpark
AWS
Python
SQL
Apache Airflow
Terraform
CI/CD
GitHub Actions
Job description
A forward-thinking company in the United Kingdom is seeking a talented Data Engineer to design and implement robust ETL pipelines. You will work with modern cloud technologies on AWS, leveraging PySpark, Python, and SQL to handle large data sets. This role offers a collaborative environment where you can make a real impact. If you have experience with cloud-native solutions and CI/CD, apply to join a team that drives data-informed decisions.