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Datastage ETL
LinkedIn Recruiter Post
Aarorn Technologies seeks a Datastage ETL contractor with 5+ years of experience for a hybrid role in Toronto. Must have IBM InfoSphere DataStage, SQL, Unix scripting, and scheduling skills.
About the role
- Senior Data Engineer focusing on scalable data infrastructure for high-throughput iGaming platform. Working hands-on with architectural responsibility and data systems across a production-grade platform.
Responsibilities
- Design and operate batch and streaming data pipelines.
- Architect and evolve data storage layers (lake, analytical, operational).
- Develop scalable data models for analytics, ML, and operational systems.
- Ensure data quality, consistency, and observability across pipelines.
- Implement real-time processing using event-driven architectures.
- Build ingestion and transformation workflows (ETL/ELT).
- Own backfills, reprocessing strategies, and data migrations.
- Implement CI/CD, monitoring, and SLA-driven operational practices.
- Partner with engineers, analysts, and data scientists to design reliable and scalable data solutions.
- Contribute to data platform standards and best practices.
Requirements
- 5+ years of experience building and operating production-grade data systems under SLA constraints.
- Strong proficiency in SQL and Python.
- Hands-on experience with streaming systems (Kafka or similar).
- Experience with batch processing and workflow orchestration.
- Production experience with relational databases (PostgreSQL or similar), including performance tuning, indexing, and partitioning.
- Experience designing high-throughput and low-latency systems.
- Solid understanding of point-in-time correctness and reproducible data pipelines.
- Experience with caching systems (Redis or similar).
- Cloud experience (AWS preferred).
- Experience with analytical engines (Athena, StarRocks, ClickHouse, or similar).
- Experience with distributed processing frameworks (Spark, Flink, Beam, or similar).
- Experience implementing data quality frameworks and CI/CD for data pipelines.
- Familiarity with vector databases or columnar storage systems.
Benefits
- Annual budget you allocate to: Sports • Medical • Mental health • Home office • Languages.
- Paid maternity/paternity leave + monthly childcare allowance.
- 20+ vacation days, unlimited sick leave, emergency time off.
- Remote-first + tech support + coworking compensation.
- Team events (online/offline/offsite).
- Learning culture with internal courses + growth programs.
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