Data Engineer: Build Scalable Data Lakes & ML Pipelines

TeraWatt Infrastructure; Alberta; On-site; CAD 55,000 - 75,000; Full time

Job summary

A leading infrastructure company in Canada is seeking a skilled Data Engineer to design and implement scalable data architectures. The role involves collaborating with cross-functional teams to optimize data pipelines and ensure data quality. Candidates should have a Bachelor's degree in Computer Science or related field and 3+ years of experience in data engineering. Proficiency in SQL, ETL processes, and cloud platforms like AWS is essential. The salary range is $55,000 - $75,000 CAD.

Qualifications

• 3+ years of experience in data engineering, focusing on data architecture.
• Proficiency in designing data warehouses, databases, and data lakes.
• Hands-on experience with Big Data technologies like Hadoop, Spark, or Kafka.

Responsibilities

• Design, build, and maintain scalable data architectures and systems.
• Architect and optimize ETL/ELT pipelines for seamless data ingestion.
• Collaborate with data analysts and scientists to understand data requirements.

Skills

Data architecture

SQL

NoSQL databases

ETL/ELT processes

Data governance

Data modeling

Big Data technologies

Cloud platforms (AWS, GCP, Azure)

Education

Bachelor’s degree in Computer Science or related field

Tools

Databricks

Airflow

AWS Glue

Job description

A leading infrastructure company in Canada is seeking a skilled Data Engineer to design and implement scalable data architectures. The role involves collaborating with cross-functional teams to optimize data pipelines and ensure data quality. Candidates should have a Bachelor's degree in Computer Science or related field and 3+ years of experience in data engineering. Proficiency in SQL, ETL processes, and cloud platforms like AWS is essential. The salary range is $55,000 - $75,000 CAD.