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data aws engineering dynamodb redshift architecture etl processing apache hadoop spark programming scripting python pyspark sql pipeline development

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On-site

Job Type

Full Time

Job Description

Cloud and AWS Expertise: In-depth knowledge of AWS services related to data engineering: EC2, S3, RDS, DynamoDB, Redshift, Glue, Lambda, Step Functions, Kinesis, Iceberg, EMR, and Athena. Strong understanding of cloud architecture and best practices for high availability and fault tolerance. Data Engineering Concepts : Expertise in ETL/ELT processes, data modeling, and data warehousing. Knowledge of data lakes, data warehouses, and big data processing frameworks like Apache Hadoop and Spark. Proficiency in handling structured and unstructured data. Programming and Scripting: Proficiency in Python, Pyspark and SQL for data manipulation and pipeline development. Expertise in working with data warehousing solutions like Redshift. Show more Show less

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