Senior Data Engineer

📋 Description

• Architect high-scale data infrastructure powering Lotlinx's platform.
• Design, build, and scale robust data pipelines from diverse sources.
• Own ELT/ETL workflows into data lakes and cloud warehouses.
• Collaborate with Analytics, Product, and Design to maximize data value.
• Ensure reliability, security, and async-friendly pipelines.

🎯 Requirements

• 3+ years of professional data engineering experience.
• Cloud platforms: AWS and/or GCP.
• Proficient in Python, Scala, or Java; strong SQL.
• Experience with Spark, Hadoop, or Beam.
• Streaming with Kafka, Pub/Sub, or Kinesis.
• Orchestration with Airflow or Dataflow; dbt usage.
• Experience with Snowflake, BigQuery, or Redshift.

🎁 Benefits

• Hybrid work: 2 days remote, 3 days in-office at Winnipeg, Oakville, or Vancouver.
• Competitive compensation and benefits package.
• Flexible time off and career development opportunities.
• Dynamic, team-oriented environment with growth opportunities.