Data Engineer
Core
Design, build, and maintain scalable, secure, and high-performance data platforms on AWS, focusing on data pipeline development and analytics enablement.
Role type
Senior individual contributor data engineer
Builds
Cloud-native data lakes, data warehouses, and batch/streaming data pipelines
Domain
Cloud data engineering on AWS
Deliverable
production ML models
Required skills
AWS data services (S3, Glue, Athena, Redshift, EMR), SQL, Python, PySpark/Spark, distributed data processing, data modeling, Terraform/CloudFormation, CI/CD, CloudWatch
Preferred skills
Amazon Kinesis or Kafka, Lakehouse patterns, BI/reporting tool integration, data governance, cost optimization, Agile delivery, AI/ML exposure
Technologies
AWS, S3, Glue, Athena, Redshift, EMR, PySpark, Spark, Terraform, CloudFormation, CloudWatch, Kinesis, Kafka
Responsibilities
Design and build scalable ETL/ELT pipelines on AWS; Develop SQL-based data transformations and Python-based data pipelines; Implement data ingestion pipelines using AWS services; Support deployment and execution of data pipelines; Monitor pipeline performance, reliability, and data quality; Work closely with architects and product teams to translate business needs into AWS data solutions (via careerplan.io/jobs/R1132706-2-data-engineer-at-dentsuaegis)
Seniority
Senior, hands-on IC
