Lead AWS Data Engineer
Aspyra
Mandatory Skills :- AWS- Data Engineering- Python Or PySpark.Roles and Responsibilities :- Design, develop, and maintain large-scale data pipelines using AWS services such as AWS Glue, Lambda, EMR, and Redshift.- Develop scalable and efficient data models using PySpark and Spark SQL to process massive datasets.- Architect and deploy scalable data pipelines using AWS Glue and PySpark to ensure high-quality data ingestion and transformation for downstream analytics.- Design and maintain high-performance data warehouses in Amazon Redshift to provide stakeholders with reliable, real-time insights for strategic decision-making.- Optimize serverless computing workflows using AWS Lambda and ECS to reduce operational overhead and improve the efficiency of our data processing tasks.Desired Candidate Profile :- 7- 12 years of experience in Data Engineering with expertise in Python programming language.- Strong understanding of AWS ecosystem including AWS Glue, Lambda, EMR, Redshift, EC2, ECS, S3 etc.- Experience with big data technologies like Hadoop/Hive/Pyspark/SparkSQL. (ref:hirist.tech)
Vacancy posted 6 days ago
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