
Big Data Engineer
1 week ago
This is an excellent opportunity for data engineers to work with us.
We're seeking skilled professionals who can design, develop and maintain scalable ETL solutions for data pipelines, enhancing and optimizing existing processes to meet evolving business needs.
- Create efficient data workflows that seamlessly integrate with our systems.
- Develop robust ETL solutions using Apache Airflow and AWS Glue to extract, transform and load large datasets.
- Design scalable data architectures on AWS cloud data lake platforms including services like S3, Athena and Redshift.
We require strong SQL skills with a focus on complex query development and optimization. Experience integrating Python applications with RESTful APIs and external services is also necessary.
Requirements:- Minimum 3 years of experience working with big data tools and frameworks such as PySpark, Databricks and related technologies.
- Deep understanding of data warehouse concepts, architectures and structures.
- Expertise in cloud technologies particularly AWS services including AWS Data Lake and Amazon EMR for big data processing.
- Familiarity with machine learning concepts and their application to data cleaning and integration tasks.
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