AWS Python Developer
This position will focus on developing various database and data loading/transformation efforts. Initiatives could include multiple source files and/or files sourced both internally and externally. Candidate is required to interact with databases using AWS Lambda, AWS Glue (for transformations) Python and Spark. Possible work leveraging SnapLogic for ETL, depending upon use case. Work will be applicable to multiple applications. Knowledge of automated testing of data a plus.
Responsibilities:
Design and built data applications for analytical reporting. Analyze data and design ETL frameworks using Python and Spark technologies. Collaborate with business partners to gather requirements and translate that to technical specifications. Adhere to lean agile methodologies. Production Support including root cause analysis and long term fixes. Implement data pipelines to meet business requirements and adhere to best practices.
Required Skills:
Proficient in Python, Spark and database technologies. Experience with various AWS services like AWS Glue, IAM, RDS, S3, SQS, SNS, Lambdas, Cloud Formation, AWS Glue, Cloud Watch, Event Bridge, CLI. Experience with Unix/Linux. Experience with SQL. Experience with source code control, preferably Git.