
Cloud Data Engineer
2 weeks ago
We are seeking an experienced Cloud Data Engineer to join our team. As a key member of the data engineering team, you will be responsible for designing, building, and maintaining robust data pipelines for processing channel activity data.
The ideal candidate will have strong hands-on experience with AWS technologies such as Glue, EMR, Lambda, Redshift, Athena, EC2, and S3. You will also have proficiency in Python for data processing automation and pipeline development.
In this role, you will work closely with cross-functional teams to ensure data from various digital channels is effectively ingested and processed. You will also contribute to architecture decisions related to data lakes, data warehouses, and big data ecosystems.
Key Responsibilities:
- Design and build data pipelines for processing channel activity data using AWS cloud infrastructure and orchestration tools.
- Work on automated data engineering solutions and data transformations using Python.
- Leverage Hadoop and Terradata experience to integrate multiple sources of data.
- Collaborate with cross-functional teams to ensure high availability, scalability, and performance.
- Contribute to architecture decisions related to data lakes, data warehouses, and big data ecosystems.
Required Skills & Qualifications:
- AWS: Strong hands-on experience with AWS technologies.
- Python: Proficiency in Python for data processing automation and pipeline development.
- Big Data Platforms: Experience with big data technologies like Hadoop and Terradata.
- Strong Analytical Skills: Ability to analyze and interpret data from different digital channels.
- Collaboration: Ability to work closely with cross-functional teams.
- Problem Solving: Strong problem-solving skills and ability to handle complex data-related challenges.
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