
Chief Data Pipeline Architect
1 day ago
We are seeking an experienced senior Data Engineer to design, build and maintain robust data pipelines for processing channel activity data from multiple sources.
- Utilize AWS cloud infrastructure services like Pyspark, Glue, EMR, Lambda, Redshift, Athena and other services like Iceberg to implement scalable data solutions.
- Collaborate with cross-functional teams to ensure seamless data ingestion and processing.
- Contribute to architecture decisions related to data lakes, data warehouses and big data ecosystems.
The ideal candidate will possess strong knowledge of AWS, Python and experience working on large-scale data engineering solutions. They should have a solid understanding of data processing architecture and be able to work closely with cross-functional teams, including business analysts, data scientists and stakeholders.
Key Skills- Experience as a Data Engineer in greenfield environments.
- 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.
Desirable qualifications include a degree in Computer Science or Engineering, certifications or experience in AWS Cloud or relevant data engineering tools, experience working on Snowflake, and knowledge of ingesting real-time data (Apache Kafka).
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