Offer summary

Qualifications:

Bachelor's degree in Computer Science, Engineering, or related field., 4-7 years of experience in big data systems, data processing, and SQL databases., 3+ years coding with Spark data frames, Spark SQL, & PySpark., Experience with SQL, dimensional modeling, Hive, Snowflake, Airflow, Looker., Experience in building reports and dashboards using BI tools..

Key responsabilities:

Architect scalable systems based on business requirements.

Build and scale data infrastructure for batch & real-time processing.

Automate cloud infrastructure, CI/CD pipelines, & testing automation.

Collaborate with stakeholders like data scientists and product managers.

Provide critical insights for analytics/data-driven decision-making.

Job description

Join a prestigious multinational Fortune 500 project in Canada as a Data Engineer. Contribute to inventive solutions and champion technological advancement. Apply now to play a pivotal role in the energetic team.

Responsibilities

Adopt a product-focused mindset, with a keen understanding of business requirements to architect scalable systems that extend and adapt to evolving needs.
Break down complex problems, document technical solutions, and sequence work for fast, iterative improvements.
Build and scale data infrastructure to support both batch and real-time processing of billions of records.
Automate cloud infrastructure, services, and observability for improved efficiency.
Develop CI/CD pipelines and implement testing automation for streamlined deployment.
Collaborate with data engineers, data scientists, product managers, and other stakeholders to understand their needs and promote best practices.
Demonstrate a growth mindset by identifying business challenges and opportunities, leveraging data analysis and data mining to make strategic or tactical recommendations.
Support analytics efforts by providing critical insights into product usage, campaign performance, funnel metrics, segmentation, conversion, and revenue growth.
Conducted ad-hoc analyses, managed long-term projects, and developed reports and dashboards to uncover new insights and measure progress on key initiatives.
Work closely with business stakeholders to understand and maintain focus on their analytical needs, including identifying critical metrics and KPIs.
Partner with different teams within the organization to understand business requirements and deliver solutions accordingly.
Deliver presentations that effectively distill complex problems into clear, actionable insights.

Minimum Qualifications

Bachelors degree in Computer Science, Engineering, or a related field, or equivalent training, fellowship, or work experience.
4-7 years of relevant industry experience in big data systems, data processing, and SQL databases.
3+ years of experience in coding with Spark data frames, Spark SQL, and PySpark.
3+ years of hands-on programming experience with modular, maintainable code, preferably in Python and SQL.
Strong understanding of SQL, dimensional modeling, and analytical big data warehouses like Hive and Snowflake.
Familiarity with ETL workflow management tools such as Airflow.
2+ years of experience in building reports and dashboards using BI tools like Looker.
Experience with version control and CI/CD tools like Git and Jenkins CI.
Experience working with and analyzing data using notebook solutions such as Jupyter, EMR Notebooks, and Apache Zeppelin.

APPLY NOW!

NearSource Technologies values diversity and is committed to equal opportunity. All qualified applicants will be considered regardless of their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as protected veterans.