TP ICAP is seeking a Data Engineer for its trade surveillance operations in Taguig City, Philippines. The role requires expertise in building and maintaining data pipelines for surveillance systems, focusing on ensuring data quality and compliance
Job Summary
Design, build, maintain and optimise end-to-end data pipelines and workflows between the source data points and target destinations, working with the wider Surveillance Technology team to prioritise automation, scalability and strategy at the heart of the design.
Implement automated data completeness and quality checks, validation rules, and reconciliation processes to ensure accuracy, completeness, and timeliness of the data ingested and to make visible any data that is not processed.
Monitor, investigate and resolve data anomalies through collaboration with, Business Analysts, Developers, and Testers across functions and verticals.
Matching Summary
Match Score: 85
TP ICAP is seeking a Data Engineer for its trade surveillance operations in Taguig City, Philippines. The role requires expertise in building and maintaining data pipelines for surveillance systems, focusing on ensuring data quality and compliance.
Skills & Requirements
Must-have
ETL/ELT data pipeline builds
financial market messaging platforms
AWS infrastructure using Terraform or CDK
Python or Java, SQL
data pipeline frameworks (e.g., Airflow, dbt, Spark)
AWS ecosystem
Agile software delivery
Nice-to-have
market data ingestion
event-driven architectures
streaming technologies (Kafka, Kinesis)
API integrations
monitoring tools (e.g. Grafana)
observability practices
financial markets and trading platforms
Key Requirements
Bachelor’s degree in Computer Science, Data Science, Engineering, or related field
Previous experience in Data Ops and Data Engineering
Strong experience ETL/ELT data pipeline builds
Solid understanding of CI/CD pipelines
Experience with EKS, Lambda, EventBridge, Step Functions, S3, DynamoDB, AWS Glue, Snowflake, Terraform and Transfer Family
Strong proficiency in Python or Java, SQL, and data pipeline frameworks