Key Role:
We're seeking a highly skilled Data Engineer to join our growing analytics and technology team. This individual will design, build, and maintain scalable data pipelines and infrastructure using modern tools to empower the business to extract maximum value from data.
Responsibilities:
* Develop and deploy cloud-based data solutions utilizing AWS services such as Athena, S3, EMR, Glue, Redshift, and Lambda.
* Drive modernisation initiatives by evaluating and integrating cloud platforms and Databricks into our data architecture.
* Design, build, and maintain scalable data pipelines using Impala, Oozie, Hive, Airflow, and HDFS to support high-volume data processing and orchestration.
Requirements:
* Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
* 4+ years of experience in data engineering or related roles.
* Proficient in SQL and scripting languages like Python or Shell.
* Familiarity with Hadoop ecosystem tools (Hive, Impala, Oozie, HDFS) and workflow orchestration (Airflow).
* Exposure to or interest in Databricks and modern data platforms is a strong plus.