
Cloud Data Solutions Architect
2 days ago
Job Overview
Data Engineers with experience in digital channel activities and cloud technologies will work on integrating and processing data from multiple sources.
Key Responsibilities
- Design robust data pipelines for processing channel activity data.
- Work on AWS cloud infrastructure using services like Pyspark, Glue, EMR, Lambda, Redshift, Athena, and orchestration tools like Airflow to ensure high availability and performance.
- Leverage Python for building automated data engineering solutions.
- Collaborate with teams to ingest and process data from various digital channels.
- Contribute to architecture decisions related to data lakes, warehouses, and big data ecosystems.
- Ensure data quality, governance, and integrity across all systems.
Required Skills & Qualifications
- 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 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.
Benefits of Working in this Role
This role is ideal for professionals looking to leverage their technical skills in a dynamic environment. As a key member of the team, you will contribute to the design and implementation of data engineering solutions that drive business value.
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