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Sr. Data Engineer - Toronto - SPECTRAFORCE
Description
Title:
Sr. Data Engineer
Duration: 6+ months Contract (possible extension)
Location:
Toronto, ON M5G 1M1 (Hybrid)
8.30 am - 5 pm EST-core hours
Primary Skills:
Big Data Engineering, Databases, Data Warehousing, ETL, Spark SQL, PySpark, Python, Dashboarding
Secondary Skills :
Stakeholder Management & Alignment, Excellent communication skills, Team player
Summary
Are there any technical tools/applications you would like the candidates to be proficient with.
Python, Spark SQL, Hive, Airflow, Snowflake, Visualization tools like Tableau, PowerBI or Qlik
As a Senior Data Engineer, you will work to rapidly improve critical data processing & analytics pipelines. You will tackle hard problems to improve the platform's reliability, resiliency, and scalability. You will build dashboards that business stakeholders can leverage on for viewing data, performing data analysis and viewing outcomes.
We are looking for someone who thrives on autonomy and has experience driving long-term projects to completion.
You are detail and quality oriented, and excited about the prospects of having a big impact with data at Client.
Our tech stack includes Hive, Spark, Presto, Jenkins, Snowflake, PowerBI, Looker and various AWS services.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 distil complex problems into clear insights
You will create dashboards that allow stakeholders to interact with the data and perform analysis.
Minimum Qualifications
4-7 years of relevant industry experience in big data systems, data processing and SQL databases
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
2+ years of building reports and dashboards BI tools. Knowledge of Looker a plus
Experience with version control and CICD tools like Git and Jenkins CI
Experience in working and analyzing data on notebook solutions like Jupyter, EMR Notebooks, Apache Zeppelin
Experience in dashboarding tools like PowerBI, Qlik and Tableau
Bachelor's degree in computer science, Engineering or related field, or equivalent training, fellowship, or work experience
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