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Experis: Data Engineer


This is a Full-time position in Laval, QC posted February 17, 2021.

Data Engineer Role Summary The Data Engineer will work closely with a multidisciplinary agile team to build high quality data pipelines driving analytic solutions.

These solutions will generate insights from the organization’s connected data, enabling Pratt & Whitney Canada to advance the data-driven decision-making capabilities of our enterprise.

This role requires deep understanding of data architecture, data engineering, data analysis, reporting, and a basic understanding of data science techniques and workflows in additional to basic understanding on business processes supported by the data pipeline.

The ideal candidate is a skilled data / software engineer with experience creating data products supporting analytic solutions with experience in the assigned area.

Finally, they are an agile learner, possessing strong problem-solving skills, working as part of a technical, cross functional analytics team, and desiring to solve complex data problems and deliver the insights to enable analytics strategy.

Responsibilities ▪ Design, develop, optimize, and maintain data architecture and pipelines that adhere to ELT principles and business goals ▪ Solve complex data problems to deliver insights that helps our business to achieve their goals ▪ Create data products for Business Intelligence Engineers, Business Analyst and data scientist team members to improve their productivity ▪ Advise, consult, mentor and coach other data and analytic professionals on data standards and practices ▪ Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions ▪ Lead the evaluation, implementation and deployment of emerging tools and process for analytic data engineering in order to improve our productivity as a team ▪ Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes ▪ Partner with machine learning engineers, business intelligence engineers and solutions architects to develop technical architectures for strategic enterprise projects and initiatives.

▪ Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics Domain Expertise Bachelor’s degree required; Computer Science, MIS, or Engineering preferred ▪ 5+ years of experience working in data engineering or architecture role, 7+ preferred (3 years with 5 preferred for Jr.

role) ▪ Expertise in ELT and data analysis and experience with SQL and at least one programming language (Python/R preferred) ▪ Experience developing and maintaining data warehouses in big data solutions e.G.

Snowflake ▪ Experience with developing solutions on cloud computing services and infrastructure in the data and analytics space ▪ Database development experience using Hadoop, SPARK or BigQuery and experience with a variety of relational, NoSQL, and cloud database technologies ▪ Worked with BI tools such as Alteryx, Tableau, Power BI, Looker ▪ Conceptual knowledge of data and analytics, such as dimensional modeling, ELT, reporting tools, data governance, data warehousing, structured and unstructured data.

▪ Big Data Development experience using Hive, Impala, Spark and familiarity with Kafka (Preferred) ▪ Familiarity with the Linux operating system ▪ Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics Please send your CV at