Posted:2 weeks ago|
Platform:
Work from Office
Full Time
Design, build, and maintain scalable and reliable data pipelines for the ingestion, transformation, and delivery of large datasets. Collaborate with analytics and business teams to understand data requirements and deliver actionable datasets. Develop and optimize ETL processes using modern data engineering tools and frameworks (e.g., Apache Airflow, Spark, SQL). Ensure data quality, integrity, and security across all stages of the data lifecycle. Implement and monitor data solutions on cloud platforms (AWS, GCP, or Azure). Troubleshoot and resolve data pipeline and infrastructure issues with a focus on continuous improvement. Build and maintain data models, warehouses, and marts to support advanced analytics and reporting. Document data architecture, workflows, and processes for internal teams. Work closely with Data Scientists and Analysts to enable advanced analytics and machine learning initiatives. Stay updated with industry trends and best practices in data engineering and analytics.
spocto - A Yubi Company
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