Ready to create innovative solutions and best practices?Join our team
TELUS Insights is building a team to drive innovation around data monetization and analytics. We are seeking a Senior Developer Analyst (Data Engineer), with broad technical skills to dive deep into the design and implementation of data pipelines and data management processes.Here's the impact you'll make and what we'll accomplish together
You will be responsible for creating and maintaining the data (ETL) pipeline for TELUS Insights Platform, and building the components required for optimal extraction, transformation, cost efficiency management and the loading of data from a wide variety of data sources using Cloud technologies. You will be working with stakeholders including Product, Cloud, Data Lake and Integration teams to assist with data-related technical issues and support the data engineering needs of the TELUS Insights Product. You will be responsible for creating data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.Here's how
•Create and maintain optimal data pipeline architecture
•Build analytics capabilities that utilize the data pipeline to provide actionable insights
•Work with cross functional technology stakeholders to build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and big data technologies
•Re-design infrastructure for greater scalability
•Assemble large, complex data sets that meet functional/non-functional business requirements
•Identify, design, and implement internal process improvements including establishing standards for development processes and technical requirements; automating manual processes; optimizing data delivery, etc
•Develop and ensure compliance for data management processes, policies and standards
•Implement and enforce controls to maintain data availability and quality
•Recognize and adopt best practices in data integrity, test design, analysis, validation, and documentation
•Tune application and query performance using profiling tools and SQL
•Review data at aggregate levels on a regular basis using analytical reporting tools to support the identification of risks and data patterns or trends
•Work closely with cross functional teams to assist with data-related technical issues and support their data infrastructure needs
•Keep up-to-date with the latest technology trends and methods by staying abreast of state-of-the-art literature in the fields of advanced analytics, statistical modeling, and data management Qualifications:You're the missing piece of the puzzle
•Post graduate degree in computer science
•Minimum of 5 years' experience in a Data Engineering capacity
•Demonstrated experience in ETL, and data warehousing
•Demonstrated ability to build and optimize 'big data' data pipelines, architectures and data sets and computing tools such as Spark, MySQL, GCP, Azure, AWS, etc
•Demonstrated knowledge of methods and techniques involved in Advanced Analytics, data mining, statistics, and optimization
•Coding proficiency in at least one modern programming language (Python, Java, etc)
•Demonstrated proficiency working with both relational (SQL) and non-relational databases (NoSQL)
•Demonstrated understanding of data privacy, security and related tools such as anonymization and encryption
•Excellent oral and written communication skills and ability to clearly and fluently translate technical findings to non-technical partners and to communicate to multiple audiences using data storytelling and through graphics
•Demonstrated ability to work collaboratively in an interdisciplinary environment and to develop recommendations using facilitation and consensus building
•Strong analytical, critical thinking, and evaluation skills to discern and help solve the important problems, while identifying new ways to leverage our data Great-to-haves
•Advanced expertise in Cloud, with Google Cloud Platform and BigQuery a strong asset
•Ability to think and solve complex data engineering problems in a maintainable and scalable fashion
•Ability to work independently and collaboratively with both local & non-local teammates
Who is TELUS?
We're a high-performing team of individuals who collectively make TELUS one of the leading telecommunications companies in Canada. Our competitive consumer offerings include wireline, wireless, internet and Optik TV™. We also deliver a compelling range of products and services for small, medium and large businesses; and have carved out a leadership position in the health, energy, finance and public sector markets with innovative industry specific solutions.
Everyone belongs at TELUS. It doesn't matter who you are, what you do or how you do it, at TELUS, your unique contribution and talents will be valued and respected. Because the more diverse perspectives we have the more likely we are to crack the code on what our customers want and our communities need.
Do you share our passion?
At TELUS, you
create future friendly® possibilities.
At TELUS, we are committed to diversity and equitable access to employment opportunities based on ability.