
AWS Cloud Data Architect Position
5 days ago
A Cloud Data Engineer is a unique opportunity to work on a project that focuses on integrating and processing channel activity data from multiple sources.
Key Responsibilities:
- Design, build, and maintain robust data pipelines for processing channel activity data, focusing on digital channels and integrating multiple sources of data.
- Work on AWS cloud infrastructure and orchestration tools like Airflow to ensure high availability, scalability, and performance.
- Leverage Python for building automated data engineering solutions and data transformations.
- Collaborate with cross-functional teams to ensure data from various digital channels is effectively ingested and processed.
- Contribute to architecture decisions related to data lakes, data warehouses, and big data ecosystems.
Skills & Experience Required:
Experience with Data Engineering: Proven experience working as a Data Engineer in greenfield environments.
- AWS: Strong hands-on experience with AWS technologies such as PySpark, Glue, EMR, Lambda, Redshift, Athena, EC2, and S3.
- 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 analyse 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.
Desirable Qualifications:
- A degree in Computer Science, Engineering, or a related field.
- Certifications or experience in AWS Cloud or relevant data engineering tools would be beneficial.
- Knowledge of ingesting real-time data would be advantageous.
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