Data Engineer I, Payment Acceptance & Experience
Core
Design, develop, implement, test, and operate large-scale, high-volume, high-performance data structures for analytics, reporting, and machine learning to support global payment metrics.
Role type
Data Engineer I
Builds
Data pipelines, ETL/ELT processes, data quality checks, and AI-native engineering infrastructure scaffolding.
Domain
Payments, Big Data, Cloud Infrastructure
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data modeling, ETL pipeline development, SQL/PL/SQL/HiveQL/SparkSQL/Scala, Python/KornShell scripting, Database/Data warehouse/Data lake solutions
Preferred skills
Big data technologies (Hadoop, Hive, Spark, EMR), ETL tools (Informatica, ODI, SSIS, BODI, Datastage), AWS technologies (Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, IAM)
Technologies
AWS, Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, IAM, Hadoop, Hive, Spark, Informatica, ODI, SSIS, BODI, Datastage
Responsibilities
Implement real-time and batch data ingestion routines, develop ETL/ELT processes, build data quality and controllership checks, migrate legacy datasets onto a centralized data platform, maintain a semantic layer mapping business terms to physical data structures, analyze source data systems and drive best practices, produce comprehensive dataset documentation and metadata
Seniority
Individual Contributor, Entry Level