Our clients are regularly searching for Data Engineers who can build elegant scalable data pipelines like a pro LEGO builder - fitting every block just right.
Build and optimize data pipelines for batch and real-time processing
Work with cloud-native tools and frameworks (GCP AWS Azure)
Transform raw data into clean query able formats
Collaborate with data scientists and analysts to deliver usable datasets
Skills & Experience: Minimum 36 years experience in data engineering
Proficiency in SQL Python and one cloud platform
Experience with Big Query Spark Airflow Kafka or similar
Data modelling ETL and API integration expertise
Qualification:Degree in Computer Science Engineering Data Science or related field
Cloud certifications a strong advantage
Contact
Kauthar Marcus on
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