
AWS Data Engineer Specialist
1 week ago
We are seeking an experienced Data Engineer to join our team in a challenging role that involves designing, building and maintaining robust data pipelines for processing channel activity data from various digital channels.
Key Responsibilities:
- Design and develop scalable and efficient data pipelines using cloud-based technologies such as AWS.
- Work on large-scale data engineering solutions for data processing, warehousing, and analytics.
- Leverage Python for building automated data engineering solutions and data transformations.
- Collaborate with cross-functional teams to ensure seamless integration of data from various digital channels.
- Contribute to architecture decisions related to data lakes, data warehouses, and big data ecosystems.
- Ensure data quality, governance, and integrity across all data systems.
Requirements:
- Strong hands-on experience with AWS technologies such as Pyspark, Glue, EMR, lambda, Redshift, Athena, EC2 and S3.
- Proficiency in Python for data processing, automation, and pipeline development.
- Experience with big data technologies like Hadoop and Terradata.
- Strong analytical skills and ability to analyze and interpret data from different digital channels.
- Collaboration and problem-solving skills with 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 (Apache Kafka) would be an advantage.
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