
Chief Data Engineering Specialist
17 hours ago
As a key contributor to our digital transformation, we are seeking an experienced Data Engineer to join our team.
This is an exciting opportunity to work on a project focused on integrating and processing channel activity data from multiple sources. The ideal candidate will possess strong knowledge of cloud technologies, particularly in AWS, as well as experience with big data platforms such as Hadoop and Terradata.
Job 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 (including services like Pyspark ,Glue ,EMR ,lambda, Redshift , Athena, and other services like Iceberg) 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.
Required Skills and 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, automation, and pipeline development.
- Big Data Platforms: Experience with big data technologies like Hadoop and Terradata.
Benefits
- Opportunity to work on a project focused on integrating and processing channel activity data.
- Chance to collaborate with cross-functional teams to ensure effective data ingestion and processing.
Others
- We offer flexible working arrangements, mentoring, internal mobility, learning and development programs, and more.
- Strong problem-solving skills and ability to handle complex data-related challenges.
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