Tech Stack
PythonAWSSQL
Job Description, Responsibilities & Requirements
About the Position
We are seeking an experienced AWS Data Engineer to join our team that develops a data-centric platform that empowers multiple data sources about consumer behaviors across the globe for actionable insights discovery.
Responsibilities
- Design, implement, and support a platform providing secured access to large datasets.
- Develop and maintain end-to-end scalable data infrastructure and data pipelines.
- Design and implement routines to extract, transform, and load data from a wide variety of data sources using Python, SQL, scripting, and AWS big data technologies.
- Design and implement complex ETL pipelines and other BI solutions.
- Work closely with product owners, developers, and data strategists to explore new data sources and deliver the data.
Requirements
- At least 3-5 years of hands-on experience in developing data ingestion, data processing, and analytical pipelines for big data, relational databases, NoSQL, and data warehouse solutions on the AWS Cloud Platform.
- AWS data services experience, in particular AWS Glue, Lambda, RDS PostgreSQL, S3, Redshift, Athena, and other data infrastructure automation services.
- Experience with scripting in a serverless architecture using Python.
- Experience with data modeling, querying, and optimization for relational, NoSQL, data warehouses, and data lakes.
- Experience working with data lake and federated data architectures.
Nice to Have
- Knowledge of AWS Step Functions or similar orchestration tools.
- Experience with Visual Studio Code, Docker, and Git.
We Offer
- A decent salary level, which allows you to think about our mutual success and not about tomorrow.
- Flexible working hours. You create your own schedule.
- Possibility to work remotely. You prefer home office or traveling around? Easy, that's exactly how we operate.
About the Company
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