Key skills
Amazon RedshiftAWSDynamoDBETLNumpyPandasPySparkPythonSQLNumPyAnalyticsRedshiftLambdaS3CloudWatchGlueAthenaGitVersion ControlProject ManagementCommunicationCollaboration
About this role
Role Overview
- Manage small projects within the business analytics PMO.
- Ensure documentation and reporting standards are adhered to.
- Develop and deliver training sessions on project management best practices.
- Provide feedback and support to junior team members.
Requirements
- 5-8 years of experience in ETL development with strong proficiency in Python (libraries such as Pandas, NumPy, SQLAlchemy).
- Bachelor’s degree in computer science, Data Science, or a related field. Master's degree is a plus.
- Strong proficiency in PySpark and Python for data processing and analysis.
- Proficiency in SQL for data manipulation and querying.
- Experience with version control systems, preferably Git.
- Familiarity with AWS services, including S3, Redshift, Glue, Step Functions, Event Bridge, CloudWatch, Lambda, Quicksight, DynamoDB, Athena, CodeCommit etc.
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration skills to work effectively within a team.
- Ability to manage multiple tasks and prioritize effectively in a fast-paced environment.
Tech Stack
- Amazon Redshift
- AWS
- DynamoDB
- ETL
- Numpy
- Pandas
- PySpark
- Python
- SQL
Benefits
- Paid time off
- Professional development opportunities