Senior Engineer - Data Engineering
Apply NowCompany: Slalom Consulting
Location: Toronto, ON M4E 3Y1
Description:
About Slalom Build
Slalom Build is a highly-scalable, high-velocity Build as a Service firm. We work with clients to close the distance between dream and reality, imagined possibility and technical realization.
We do this by blending design, product engineering, analytics, and automation to build the modern technology products of tomorrow.
Over 1000 builders strong in eleven Build Centers across North America, U.K, and Australia, Slalom Build leverages a foundation of innovation inherited from Slalom Consulting. We're intensely proud to partner with future-focused clients committed to disrupting their industries.
About Slalom
Founded in 2001 and headquartered in Seattle, Slalom has organically grown to over 8,000 employees. We have been named one of Fortune's 100 Best Companies to Work For five years running and are regularly recognized by our employees as a best place to work.
Senior Data Engineer
As a Senior Data Engineer for Slalom Build, you'll work in small Agile teams to deliver innovative solutions on Amazon Web Services, Azure, and Google Cloud using core cloud data warehouse tools, Hadoop, Spark, Event Stream platforms, and other Big Data related technologies. In addition to building the next generation of data platforms, you'll be working with some of the most forward-thinking organizations in data and analytics.
Responsibilities:
Work as part of a team to develop Cloud Data and Analytics solutions
Participate in development of cloud data warehouses and business intelligence solutions
Data wrangling of heterogeneous data and explore and discover new insights
Own your delivery of quality product
Gain hands-on experience with new data platforms and programming languages (e.g. Python, Hive, Spark)
Willingness to travel up to 50%, at peak times of projects
Qualifications:
3 - 7+ years of related work experience in Data Engineering or Data Warehousing
Hands-on experience with leading commercial Cloud platforms, including AWS, Azure, and Google
Proven experience with data warehousing, data ingestion, and data profiling
Proficient in Python, Java, C# or Swift
Proficient in SQL
Strong aptitude for learning new technologies and analytics techniques
Highly self-motivated and able to work independently as well as in a team environment
Understanding of agile project approaches and methodologies
Understanding of basic testing types
Proficient in a source code control system, such as Git
Proficient in the Linux shell, including utilities such as SSH
Preferred Experience:
Experience with big data technologies (Apache Spark, Kafka, Presto)
Experience with workflow orchestration platforms (Apache Airflow)
Experience with container management systems (Kubernetes, Amazon ECS)
Familiar with NoSQL databases (MongoDB, DynamoDB, etc.)
Familiarity with streaming data ingestion
Consulting experience
Familiarity or strong desire to learn quantitative analysis techniques (e.g., predictive modeling, machine learning, segmentation, optimization, clustering, regression)
Slalom Is An Equal Opportunity Employer And All Qualified Applicants Will Receive Consideration For Employment Without Regard To Race, Color, Religion, Sex, National Origin, Disability Status, Protected Veteran Status, Or Any Other Characteristic Protected By Law. Slalom Welcomes And Encourages Applications From People With Disabilities. Accommodations Are Available On Request
For Candidates During All Aspects Of The Selection Process. Please Advise The Recruiter To Ensure Your Accessibility Needs Are Accommodated. Information Received Relating To Accommodation Will Be Addressed Confidentially.
Slalom Build is a highly-scalable, high-velocity Build as a Service firm. We work with clients to close the distance between dream and reality, imagined possibility and technical realization.
We do this by blending design, product engineering, analytics, and automation to build the modern technology products of tomorrow.
Over 1000 builders strong in eleven Build Centers across North America, U.K, and Australia, Slalom Build leverages a foundation of innovation inherited from Slalom Consulting. We're intensely proud to partner with future-focused clients committed to disrupting their industries.
About Slalom
Founded in 2001 and headquartered in Seattle, Slalom has organically grown to over 8,000 employees. We have been named one of Fortune's 100 Best Companies to Work For five years running and are regularly recognized by our employees as a best place to work.
Senior Data Engineer
As a Senior Data Engineer for Slalom Build, you'll work in small Agile teams to deliver innovative solutions on Amazon Web Services, Azure, and Google Cloud using core cloud data warehouse tools, Hadoop, Spark, Event Stream platforms, and other Big Data related technologies. In addition to building the next generation of data platforms, you'll be working with some of the most forward-thinking organizations in data and analytics.
Responsibilities:
Work as part of a team to develop Cloud Data and Analytics solutions
Participate in development of cloud data warehouses and business intelligence solutions
Data wrangling of heterogeneous data and explore and discover new insights
Own your delivery of quality product
Gain hands-on experience with new data platforms and programming languages (e.g. Python, Hive, Spark)
Willingness to travel up to 50%, at peak times of projects
Qualifications:
3 - 7+ years of related work experience in Data Engineering or Data Warehousing
Hands-on experience with leading commercial Cloud platforms, including AWS, Azure, and Google
Proven experience with data warehousing, data ingestion, and data profiling
Proficient in Python, Java, C# or Swift
Proficient in SQL
Strong aptitude for learning new technologies and analytics techniques
Highly self-motivated and able to work independently as well as in a team environment
Understanding of agile project approaches and methodologies
Understanding of basic testing types
Proficient in a source code control system, such as Git
Proficient in the Linux shell, including utilities such as SSH
Preferred Experience:
Experience with big data technologies (Apache Spark, Kafka, Presto)
Experience with workflow orchestration platforms (Apache Airflow)
Experience with container management systems (Kubernetes, Amazon ECS)
Familiar with NoSQL databases (MongoDB, DynamoDB, etc.)
Familiarity with streaming data ingestion
Consulting experience
Familiarity or strong desire to learn quantitative analysis techniques (e.g., predictive modeling, machine learning, segmentation, optimization, clustering, regression)
Slalom Is An Equal Opportunity Employer And All Qualified Applicants Will Receive Consideration For Employment Without Regard To Race, Color, Religion, Sex, National Origin, Disability Status, Protected Veteran Status, Or Any Other Characteristic Protected By Law. Slalom Welcomes And Encourages Applications From People With Disabilities. Accommodations Are Available On Request
For Candidates During All Aspects Of The Selection Process. Please Advise The Recruiter To Ensure Your Accessibility Needs Are Accommodated. Information Received Relating To Accommodation Will Be Addressed Confidentially.