AWS Data Pipeline Manager
2 days ago
TalentHawk is hiring an experienced Data Engineer to join our team.
This role involves leading our data engineering efforts, managing and optimizing AWS-based data processes, orchestrating data flows, and supporting business intelligence capabilities.
Key Responsibilities:
- Data Pipeline Management: Design, implement, and maintain scalable data pipelines using AWS services such as Apache Kafka, AWS Glue, and PySpark.
- Database Integration: Integrate MySQL databases on AWS (approximately 25TB) as primary data sources feeding the data pipeline.
- Real-Time Data Ingestion: Utilize Apache Kafka to manage data flows from MySQL into AWS S3 buckets, enabling real-time streaming.
- Data Processing: Implement ETL processes using AWS Glue and PySpark to build data lakes within S3 for further analysis.
- Business Intelligence (BI):
- Facilitate data availability for BI purposes, supporting daily updates and aiming to move from overnight batch jobs to near-real-time 15-minute refreshes.
- Collaborate on BI dashboard and reporting creation to provide actionable insights.
- Complex Data Reconciliation:
- Reconcile transaction records across multiple merchants, currencies, and network operators, addressing both straightforward and complex data relationships.
Requirements:
- Data Engineering Expertise:
- Proficiency with MySQL, Apache Kafka, AWS Glue, PySpark, and AWS S3 for managing data pipelines and ETL processes.
- Business Intelligence Skills:
- Experienced in designing and maintaining BI reports and dashboards with frequent data refresh capabilities.
- Data Reconciliation Experience:
- Skill in reconciling transactional data across diverse systems, operators, and currencies to ensure data accuracy.
Estimated Daily Rate: £500.
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