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Data Architect with Scalable Solutions
2 months ago
About the Role:
We are seeking an experienced Data Engineer to join our team at NearSource Technologies. As a key member of our data engineering group, you will play a pivotal role in designing, building, and maintaining scalable data systems that drive business growth and innovation.
Key Responsibilities:
- Design and implement large-scale data architectures to support complex business requirements.
- Develop and maintain high-quality, modular code using Python and SQL.
- Collaborate with cross-functional teams to understand business needs and deliver solutions that meet those needs.
- Work closely with data scientists and product managers to develop and deploy data products.
- Ensure data quality, security, and compliance across all data systems.
- Maintain and improve existing data infrastructure, including ETL workflows and data warehouses.
- Develop and deliver technical presentations to stakeholders to communicate complex data insights.
Requirements:
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent training or experience.
- At least 7 years of experience in big data systems, data processing, and SQL databases.
- 3+ years of experience in coding with Spark, data frames, Spark SQL, and PySpark.
- Strong understanding of SQL, dimensional modeling, and analytical big data warehouses like Hive and Snowflake.
- Familiarity with ETL workflow management tools like Airflow.
- Experience working with BI tools like Looker.
- Experience with version control and CI/CD tools like Git and Jenkins CI.
Benefits:
- A competitive salary of $140,000 - $170,000 per year, based on experience.
- A comprehensive benefits package, including medical, dental, and vision insurance.
- A generous retirement plan, including a 401(k) match.
- Opportunities for professional growth and development.
Location:
This role is based in Canada and requires relocation to our headquarters.