Data Engineer Position Summary:
This role focuses on designing, building, and maintaining scalable data pipelines and infrastructure. The successful candidate will work with modern tools such as Databricks to empower the business to extract maximum value from data.
Main Responsibilities:
* Design, build, and maintain scalable data pipelines using Impala, Oozie, Hive, Airflow, and HDFS to support high-volume data processing and orchestration.
* Drive modernization initiatives, including evaluating and integrating cloud platforms and Databricks into our data architecture.
* Develop and deploy cloud-based data solutions using AWS services such as Athena, S3, EMR, Glue, Redshift, and Lambda.
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.
* Hands-on experience with Hadoop ecosystem tools (Hive, Impala, Oozie, HDFS) and workflow orchestration (Airflow).
* Familiarity with AWS services (S3, Athena, EMR, Redshift, Glue, Lambda).
* Exposure to or interest in Databricks and modern data platforms is a strong plus.
We Offer:
* A dynamic and collaborative work environment.
* The opportunity to work with cutting-edge technology.
* A competitive salary and benefits package.
Equal Opportunities Employer:
eir evo talent, eir evo, and our clients are equal opportunity employers who seek to recruit and appoint the best available person for a job regardless of marital/civil partnership status, sex (including pregnancy), age, religion, belief, race, nationality, and ethnic or national origin, colour, sexual orientation, or disability.