
Intermediate Data Enginer
3 weeks ago
Direct message the job poster from Autonomous
We're looking for a data engineer who can transform raw data into clean, reliable insights. If you know why a dimension table belongs in a star schema, can spot a broken DAG before breakfast, and can confidently explain it all on a 9 a.m. PST Zoom call, you might be the one we're looking for.
Key Responsibilities
- ETL / ELT Ownership: Design, build, and optimize batch and incremental jobs to move data from source to warehouse using clear, testable logic.
- Data Modeling: Create and maintain dimensional and canonical data models that support BI dashboards and machine learning use cases.
- Pipeline Reliability: Monitor Airflow/Cloud Composer jobs, set up alerts, and manage incident responses to ensure data SLAs are met.
- Performance Tuning: Optimize SQL queries, manage partitioning and clustering strategies, and tune resource usage on platforms like Snowflake and BigQuery.
- Data Quality & Governance: Implement validation tests, lineage tracking, and documentation to ensure data trust across teams.
- Client Collaboration: Participate in project stand-ups and requirement-gathering calls (with PST/EST overlap) to deliver scalable, business-aligned data solutions.
Must-Have Qualifications
- Experience: 2–4 years in data engineering, data warehousing, or related fields
- SQL: Advanced skills including window functions and query plan analysis
- ETL / ELT: Strong understanding of ingest, transform, and load processes in cloud ecosystems
- Warehouses: Experience with Snowflake and/or BigQuery (schemas, roles, resource management)
- Orchestration: Hands-on with Apache Airflow or Cloud Composer (DAG design, scheduling, sensors)
- Data Modeling: Familiarity with star/snowflake schemas, SCDs, and normalization trade-offs
- Coding: Proficiency in Python (or equivalent) for scripting and pipeline development
- Communication: Clear, fluent English for presenting technical ideas to clients and internal teams
- Availability: Ability to overlap 3–4 working hours with Pacific/Eastern U.S. time zones
Nice-to-Haves
- Experience with dbt or similar data transformation frameworks
What Success Looks Like in 6 Months
- Core pipelines fully migrated to Composer with automated testing and alerting
- Query times for key dashboards reduced by 50% through model refactors and clustering
- Every production table documented in a comprehensive data catalog
- Zero critical pipeline incidents breaching SLA
- Positive client feedback on technical clarity and communication
- Competitive salary with performance bonuses
- Flexible working hours (with a defined PST/EST overlap window)
- Modern tech stack and a team that values clean, scalable solutions over quick fixes
- Top-tier medical coverage
Interested candidates can directly apply or email me at yusra@autonomoustech.ca (Don't forget to mention the job title in the subject)
Seniority level- Seniority levelMid-Senior level
- Employment typeFull-time
- Job functionInformation Technology
- IndustriesIT Services and IT Consulting
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