This job is no longer accepting applications. Similar open roles are listed below.
- Salary
- $60 – $80
- Location
- TORONTO
- Workplace
- Remote, Hybrid, Onsite
- Type
- Contract
- Department
- Engineering
- Experience
- 5+ years
- Source
- PCRecruiter
Description
Sr Data Engineer
This is with a global IT services firm for a very large investment fund with global reach.
Location: downtown Toronto, near TTC and GO Train
Hybrid work - 4 days in office/week
Contract - 6 months, possible renewal
Rate: $60 to 80hr B2B
Project description
We are seeking a hands-on Data Engineer to support the Total Fund Management Portfolio Management Technology team. This role focuses on building and optimizing large-scale data processing systems in a cloud-native environment. You are expected to independently design and deliver scalable data solutions with minimal oversight.
This is not a role for someone who requires detailed task breakdowns or constant direction. Once objectives and constraints are clear, you are expected to independently drive work to completion, proactively manage risks, and communicate progress effectively.
Responsibilities
Develop and optimize Spark-based workloads in cloud environments
Work with large-scale datasets using modern storage formats.
Collaborate with stakeholders to translate data requirements into robust engineering solutions
Ensure high performance, reliability, and maintainability of data platforms
Contribute to production readiness, including monitoring, documentation, and deployment
Skills
Must have
Minimum 5 years of experience in software
Strong Python with PySpark
Hands-on experience with Apache Spark (preferably in cloud environments)
Experience working with large-scale data systems
Familiarity with columnar formats (Parquet) and modern table formats (Iceberg)
Experience with Databricks
Prior consulting, advisory, or client-facing delivery experience
Ability to operate effectively in ambiguous environments
Proven independent delivery without close supervision
Strong problem-solving and continuous improvement mindset
Nice to have
AWS data services (Glue, Lake Formation)
Workflow orchestration tools (Airflow)
Experience with distributed data processing architectures
Capital markets experience
NOTE:
G.G. Consulting Group uses advanced ATS systems to track and manage candidates and jobs. We do not use AI tools for candidate screening.
This is with a global IT services firm for a very large investment fund with global reach.
Location: downtown Toronto, near TTC and GO Train
Hybrid work - 4 days in office/week
Contract - 6 months, possible renewal
Rate: $60 to 80hr B2B
Project description
We are seeking a hands-on Data Engineer to support the Total Fund Management Portfolio Management Technology team. This role focuses on building and optimizing large-scale data processing systems in a cloud-native environment. You are expected to independently design and deliver scalable data solutions with minimal oversight.
This is not a role for someone who requires detailed task breakdowns or constant direction. Once objectives and constraints are clear, you are expected to independently drive work to completion, proactively manage risks, and communicate progress effectively.
Responsibilities
Develop and optimize Spark-based workloads in cloud environments
Work with large-scale datasets using modern storage formats.
Collaborate with stakeholders to translate data requirements into robust engineering solutions
Ensure high performance, reliability, and maintainability of data platforms
Contribute to production readiness, including monitoring, documentation, and deployment
Skills
Must have
Minimum 5 years of experience in software
Strong Python with PySpark
Hands-on experience with Apache Spark (preferably in cloud environments)
Experience working with large-scale data systems
Familiarity with columnar formats (Parquet) and modern table formats (Iceberg)
Experience with Databricks
Prior consulting, advisory, or client-facing delivery experience
Ability to operate effectively in ambiguous environments
Proven independent delivery without close supervision
Strong problem-solving and continuous improvement mindset
Nice to have
AWS data services (Glue, Lake Formation)
Workflow orchestration tools (Airflow)
Experience with distributed data processing architectures
Capital markets experience
NOTE:
G.G. Consulting Group uses advanced ATS systems to track and manage candidates and jobs. We do not use AI tools for candidate screening.
Skills
PythonAWSSparkAirflowDatabricks
