We are looking for an experienced Data Engineer to design, develop, and maintain scalable data pipelines and data infrastructure for enterprise analytics and reporting solutions. The ideal candidate will have robust expertise in big data technologies, ETL processes, cloud platforms, and database management.
Required Skills
Strong experience in Python, SQL, and data engineering concepts
Hands-on experience with ETL/ELT pipelines and data integration tools
Experience with big data technologies such as Spark, Hadoop, or Kafka
Proficiency in cloud platforms like AWS, Azure, or Google Cloud Platform
Experience with relational and NoSQL databases
Knowledge of data warehousing concepts and tools such as Snowflake, Redshift, or BigQuery
Familiarity with CI/CD pipelines and version control tools like Git
Strong analytical and problem-solving skills
Responsibilities
Build and optimize scalable data pipelines and workflows
Design and maintain data architectures supporting analytics and business intelligence
Develop data ingestion, transformation, and validation processes
Collaborate with data analysts, data scientists, and business stakeholders
Ensure data quality, integrity, security, and governance standards
Monitor and troubleshoot data pipeline performance issues
Support cloud migration and modernization initiatives
Preferred Qualifications
Experience with workflow orchestration tools such as Airflow
Knowledge of real-time data streaming technologies
Familiarity with containerization tools like Docker and Kubernetes
Experience working in Agile development settings
Strong communication and stakeholder management skills
Location
St. Louis, USA
Employment Type
Contract / Long-Term Chance
Compensation
Competitive market rates based on experience and skill set
📌 Data Engineer Greater Toronto Area
🏢 Infowaysolutions
📍 Greater Toronto Area
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