AWS Data Engineer (Pyspark, Python, SQL)

Job Description:

• 4+ years of hands-on experience in AWS Data Cloud development
• Engineer will be involved in the full technology life cycle and responsible for designing, coding, configuring, testing, implementing and supporting application software
• Developing and sustaining a data ingestion pipeline to AWS leveraging services such as Athena, Glue, Lambda, S3, EventBridge and CloudWatch
• Experience developing and sustaining data load jobs using Extract, Transform, Load (ETL/ELT) methodologies and tools such as, Python, SQL, Shell Scripts, Pyspark, and terraform
• Experience using databases such as Oracle, MS SQL Server, and developing software code in one or more programming languages (Java, Python, etc.)
• Experience with production support of mission critical technology solutions
• Experience documenting technical solutions and system process flow techniques.
• Ability to work independently, multi-task effectively, and be flexible to accommodate change in priorities, as necessary