Data Engineer

This role sits within our client's rapidly growing Cloud Data Platforms team, part of the Insights and Data Global Practice. You will join a multidisciplinary group of data and platform specialists who deliver modern cloud-based transformation for clients across a range of sectors. In this role, you will design and build data pipelines, develop ETL/ELT processes, and create innovative data solutions using the latest cloud technologies and frameworks across AWS.

Some responsibilities include:

• Build data pipelines to ingest, process and transform data for analytics and reporting.
• Develop ETL/ELT workflows to move data efficiently into data warehouses, data lakes and lake houses using open-source and AWS tooling.
• Apply DevOps practices, including CI/CD, infrastructure as code and automation, to improve and streamline data engineering processes.
• Design effective data solutions that meet complex business needs and support informed decision-making.

• Strong AWS expertise, including tools such as Glue, Lambda, Kinesis, EMR, Athena, DynamoDB, CloudWatch, SNS and Step Functions.
• Skilled in modern programming, particularly Python, Java, Scala and PySpark.
• Solid knowledge of data storage and big data technologies, including data warehouses, databases, Redshift, RDS and Hadoop.
• Experience building and managing AWS data lakes on S3 for both structured and unstructured data.