ETIC, AWS Data Engineer, Senior Associate
Core
Design, build, and optimize modern data platforms and pipelines on AWS for enterprise clients to enable advanced analytics and AI.
Role type
Senior Associate Data Engineer (Advisory)
Builds
Scalable, secure, high-performing data solutions and pipelines
Domain
Technology / Cloud Data Engineering
Deliverable
production ML models | product features
Required skills
AWS Glue, Amazon Redshift, AWS Step Functions, Amazon Managed Workflows for Apache Airflow (MWAA), PySpark, SQL, Delta Lake, data modeling, medallion architecture, lakehouse principles, CI/CD, Git
Preferred skills
Apache Airflow, Apache Hadoop, Azure Data Factory, Databricks, data governance, lineage, observability, performance optimization, cost control
Technologies
AWS Glue, Amazon Redshift, Amazon S3, AWS Lambda, Amazon Kinesis, AWS Step Functions, PySpark, SQL, Delta Lake, Git, AWS CodePipeline
Responsibilities
Design and develop end-to-end data pipelines across structured, semi-structured, and unstructured data sources; Implement data ingestion, transformation, and orchestration frameworks; Develop and optimize ETL/ELT processes; Implement and enforce data quality, lineage, and governance practices; Work with solution architects to design modern data architectures; Participate in client workshops to translate business needs into technical designs
Seniority
Senior Associate, hands-on IC
