Take on the role of Data Engineer for a multinational Fortune 500 Project in Canada. Drive innovation and contribute to technological excellence.
Apply today to become a key player in the dynamic team.
Responsibilities
- You will need a product-focused mindset. It is essential for you to understand business requirements and architect systems that will scale and extend to accommodate those needs.
- Break down complex problems, document technical solutions, and sequence work to make fast, iterative improvements.
- Build and scale data infrastructure that powers batch and real-time data processing of billions of records.
- Automate cloud infrastructure, services, and observability.
- Develop CI / CD pipelines and testing automation.
- Interface with data engineers, data scientists, product managers, and all data stakeholders to understand their needs and promote best practices.
- You have a growth mindset. You will identify business challenges and opportunities for improvement and solve for them using data analysis and data mining to make strategic or tactical recommendations.
- You will support analytics and provide critical insights around product usage, campaign performance, funnel metrics, segmentation, conversion, and revenue growth.
- You will build ad-hoc analysis, long-term projects, reports, and dashboards to find new insights and to measure progress in key initiatives.
- You will work closely with business stakeholders to understand and maintain focus on their analytical needs, including identifying critical metrics and KPIs.
- You will partner with different teams within the organization to understand business needs and requirements.
- You will deliver presentations that will distill complex problems into clear insights.
Minimum Qualifications
- Bachelor’s degree in computer science, Engineering, or related field, or equivalent training, fellowship, or work experience.
- 5-6 years of relevant industry experience in big data systems, data processing, and SQL databases.
- Experience in working and analyzing data on notebook solutions like Jupyter, EMR Notebooks, and Apache Zeppelin.
- 3+ years of coding experience in Spark data frames, Spark SQL, PySpark.
- 3+ years of hands-on programming skills, able to write modular, maintainable code, preferably Python & SQL.
- Good understanding of SQL, dimensional modeling, and analytical big data warehouses like Hive and Snowflake.
- Familiar with ETL workflow management tools like Airflow.
- At least 1-2 years of building reports and dashboards BI tools such as Looker.
- Experience with version control and CICD tools like Git and Jenkins CI.
Apply now by sharing your resumes at [email protected]
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