Associate Data Engineer
Role Overview
The Associate Data Engineer designs and builds data pipelines for Al Tayer's omnichannel brands.
The role also maintains data quality and supports data-product prototypes, including machine-learning components and basic frontends.
Key Skills for This Role
Full Job Posting
Role overview
The Associate Data Engineer designs and builds data pipelines for Al Tayer's omnichannel brands.
The role also maintains data quality and supports data-product prototypes, including machine-learning components and basic frontends.
Data pipelines and processing
- Design, develop, and implement ETL pipelines from various sources into the data warehouse.
- Optimize pipelines for performance, scalability, and reliability at large data volumes.
- Build processing workflows using AWS Glue, AWS Data Pipeline, Amazon S3, and API gateways.
- Ingest data from Salesforce Marketing Cloud, Google Analytics, Firebase, Commerce Cloud, Service Cloud, and other internal and external sources.
Data quality, reporting, and products
- Maintain data integrity and quality and report on them weekly or monthly.
- Create Tableau visualizations and dashboards for business stakeholders.
- Troubleshoot data issues, identify bottlenecks, and implement solutions.
- Prototype products that may include machine-learning components and basic frontends, and support their end-to-end development.
Education and experience
- A bachelor's degree in computer science, software engineering, or information technology is specified.
- The posting requires a minimum of four years of experience.
- An open mindset and eagerness to learn and experiment with data are sought.
Knowledge and skills
- Python and SQL.
- Salesforce Commerce Cloud and streaming and batch data processing.
- Cloud computing using GCP or AWS.
- A visualization tool such as Tableau, Data Studio, or Metabase.
- CI/CD tools such as Bitbucket, GitHub, or GitLab.
- Basic understanding of machine learning, including logistic regression, NLP, and clustering.
- Exposure to machine learning, NLP, and LLMs is an added advantage.
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