About the role
Job Title: Senior - Contract Cloud Data Engineer (AWS/Azure)
Type: Contract per hour
Location: Toronto
Environment: Hybrid - mostly remote - must be able to onsite - downtown Toronto
We have been engaged to find a Senior Cloud Data Engineer with a passion for building scalable and optimized cloud data solutions.
Overview We are seeking an experienced Cloud Data Engineer with expertise in AWS and Azure to design, build, and optimize scalable cloud-based data solutions. The ideal candidate will have hands-on experience with cloud-native data services, ETL pipelines, and big data processing, ensuring efficient and secure data storage, transformation, and accessibility. This contract role requires strong analytical skills, the ability to work independently, and a deep understanding of data engineering best practices in the cloud.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines and ETL processes on AWS and Azure.
- Build and optimize data lakes, data warehouses, and cloud-native storage solutions (e.g., S3, ADLS, Snowflake, Redshift, Synapse).
- Implement data modeling, partitioning, and indexing strategies to ensure optimal performance.
- Develop and maintain CI/CD pipelines for data engineering workflows.
- Work with structured and unstructured data using Spark, Databricks, or Synapse Analytics.
- Implement and enforce data governance, security, and compliance best practices.
- Optimize query performance and cost efficiency for cloud data platforms.
- Work closely with data scientists, analysts, and DevOps teams to support business needs.
- Troubleshoot data ingestion, transformation, and performance issues.
- Document technical solutions, best practices, and operational procedures.
Requirements Required Skills & Experience:
- 8+ years of experience in data engineering with a focus on cloud-based solutions (AWS and Azure).
- Hands-on experience with cloud data services such as:
- AWS: S3, Glue, Redshift, Amazon EMR (Elastic MapReduce),Lambda, Kinesis, Step Functions.
- Azure: ADLS, Synapse Analytics, Data Factory, Event Hub, Cosmos DB.
- Proficiency in SQL, Python, and/or Scala for data processing and transformations.
- Experience with ETL/ELT frameworks and tools such as Apache Spark, Databricks, Airflow, or Data Build Tool (dbt)
- Strong understanding of data modeling, schema design, and database performance tuning.
- Experience with IaC tools like Terraform, CloudFormation, or Bicep.
- Knowledge of data governance, security best practices, and compliance frameworks
- Familiarity with DevOps & CI/CD pipelines for automating deployments.
- Strong analytical and problem-solving skills.
- Excellent communication skills and ability to work with cross-functional teams.
Nice-to-Have Skills Knowledge of machine learning pipelines and MLOps.
Experience working with Kafka, Snowflake, BigQuery, or Hadoop ecosystems.
Certifications in AWS Certified Data Analytics, Azure Data Engineer Associate, or similar.
About SearchLabs
SearchLabs is a leading specialist recruitment firm established to meet the recruitment needs of the Design, Construction & Property, and Information Technology industries. Established in 2010, we work with the leading companies within our disciplines across North America & the Caribbean.
At SearchLabs, we make hiring and job hunting as easy and simple as possible so you can focus on what you do best. We believe in the 80/20 rule. That 20% of companies come up with 80% of innovation in the industry, and 20% of talent do 80% of the work. We represent that 20%.
When you partner with us, your personal career goals and objectives are dealt with and represented by experienced consultants within your field of specialty. We then match you to the best opportunities that are aligned with your goals and aspirations to result in a positive and rewarding outcome.
We recognize the importance of ethics and are committed to confidentiality in every step of the process. Whether you are looking for a permanent or contractual arrangement, we appreciate the responsibility and opportunity to represent and inform you about the marketplace and the career opportunities within.
For more information, please visit us at: https://searchlabs.ca/
About the role
Job Title: Senior - Contract Cloud Data Engineer (AWS/Azure)
Type: Contract per hour
Location: Toronto
Environment: Hybrid - mostly remote - must be able to onsite - downtown Toronto
We have been engaged to find a Senior Cloud Data Engineer with a passion for building scalable and optimized cloud data solutions.
Overview We are seeking an experienced Cloud Data Engineer with expertise in AWS and Azure to design, build, and optimize scalable cloud-based data solutions. The ideal candidate will have hands-on experience with cloud-native data services, ETL pipelines, and big data processing, ensuring efficient and secure data storage, transformation, and accessibility. This contract role requires strong analytical skills, the ability to work independently, and a deep understanding of data engineering best practices in the cloud.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines and ETL processes on AWS and Azure.
- Build and optimize data lakes, data warehouses, and cloud-native storage solutions (e.g., S3, ADLS, Snowflake, Redshift, Synapse).
- Implement data modeling, partitioning, and indexing strategies to ensure optimal performance.
- Develop and maintain CI/CD pipelines for data engineering workflows.
- Work with structured and unstructured data using Spark, Databricks, or Synapse Analytics.
- Implement and enforce data governance, security, and compliance best practices.
- Optimize query performance and cost efficiency for cloud data platforms.
- Work closely with data scientists, analysts, and DevOps teams to support business needs.
- Troubleshoot data ingestion, transformation, and performance issues.
- Document technical solutions, best practices, and operational procedures.
Requirements Required Skills & Experience:
- 8+ years of experience in data engineering with a focus on cloud-based solutions (AWS and Azure).
- Hands-on experience with cloud data services such as:
- AWS: S3, Glue, Redshift, Amazon EMR (Elastic MapReduce),Lambda, Kinesis, Step Functions.
- Azure: ADLS, Synapse Analytics, Data Factory, Event Hub, Cosmos DB.
- Proficiency in SQL, Python, and/or Scala for data processing and transformations.
- Experience with ETL/ELT frameworks and tools such as Apache Spark, Databricks, Airflow, or Data Build Tool (dbt)
- Strong understanding of data modeling, schema design, and database performance tuning.
- Experience with IaC tools like Terraform, CloudFormation, or Bicep.
- Knowledge of data governance, security best practices, and compliance frameworks
- Familiarity with DevOps & CI/CD pipelines for automating deployments.
- Strong analytical and problem-solving skills.
- Excellent communication skills and ability to work with cross-functional teams.
Nice-to-Have Skills Knowledge of machine learning pipelines and MLOps.
Experience working with Kafka, Snowflake, BigQuery, or Hadoop ecosystems.
Certifications in AWS Certified Data Analytics, Azure Data Engineer Associate, or similar.
About SearchLabs
SearchLabs is a leading specialist recruitment firm established to meet the recruitment needs of the Design, Construction & Property, and Information Technology industries. Established in 2010, we work with the leading companies within our disciplines across North America & the Caribbean.
At SearchLabs, we make hiring and job hunting as easy and simple as possible so you can focus on what you do best. We believe in the 80/20 rule. That 20% of companies come up with 80% of innovation in the industry, and 20% of talent do 80% of the work. We represent that 20%.
When you partner with us, your personal career goals and objectives are dealt with and represented by experienced consultants within your field of specialty. We then match you to the best opportunities that are aligned with your goals and aspirations to result in a positive and rewarding outcome.
We recognize the importance of ethics and are committed to confidentiality in every step of the process. Whether you are looking for a permanent or contractual arrangement, we appreciate the responsibility and opportunity to represent and inform you about the marketplace and the career opportunities within.
For more information, please visit us at: https://searchlabs.ca/