Big Data Solutions Architect
2 weeks ago
Job Opportunity:
Senior Big Data Systems Engineer
We are seeking an experienced Senior Big Data Systems Engineer to join our organization. The ideal candidate will have expertise in designing, developing, and implementing large-scale data systems using Redshift, AWS, Spark, and Scala.
Key Responsibilities:
- Data Warehousing: Design, develop, and maintain large-scale data warehouses using Amazon Redshift. Optimize Redshift cluster performance, scalability, and cost-effectiveness.
- Data Pipelines: Build and maintain data pipelines using Apache Spark, Scala, and AWS services like S3, Glue, and Lambda. Ensure data quality, integrity, and security across the data pipeline.
- Data Processing: Develop and optimize data processing applications using Spark, Scala, and AWS services. Work with data scientists and analysts to develop predictive models and perform advanced analytics.
- AWS Services: Leverage AWS services like S3, Glue, Lambda, and IAM to build scalable and secure data systems. Ensure data systems are highly available, scalable, and optimized for cost, performance, and scalability.
- Requirements: 5+ years of experience in big data engineering or a related field. Proficiency in Amazon Redshift, Apache Spark, and Scala. Experience with AWS services like S3, Glue, Lambda, and IAM. Knowledge of data processing frameworks like Spark and data storage solutions like S3 and Redshift.
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