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Specialist Data Engineering, Toronto, Publicis Groupe

Published 2022-09-28
Expires 2022-10-28
ID #1189669542
Free
Specialist Data Engineering, Toronto, Publicis Groupe
Canada, Ontario, Toronto,
Published September 28, 2022

Job details:

Job type: Full time
Contract type: Permanent
Salary type: Monthly
Occupation: Specialist data engineering


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Description

Company DescriptionPublicis Sapient is a digital transformation partner helping established organizations get to their future, digitally-enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting and customer obsession to accelerate our clients’ businesses through designing the products and services their customers truly value.Job DescriptionPublicis Sapient is looking for Manager/Architect to join our team of bright thinkers and doers. You will team up with top-notch technologists to enable real business outcomes for our enterprise clients by translating their needs into transformative solutions that provide valuable insight. Working with the latest data technologies in the industry, you will be instrumental in helping the world’s most established brands evolve for a more digital future.Your Impact: Work closely with our clients providing evaluation and recommendations of design patterns and solutions for data platforms with a focus on ETL, ELT, ALT, lambda, and kappa architecturesDefine SLAs, SLIs, and SLOs with inputs from clients, product owners, and engineers to deliver data-driven interactive experiences Provide expertise, proof-of-concept, prototype, and reference implementations of architectural solutions for cloud, on-prem, hybrid, and edge-based data platformsProvide technical inputs to agile processes, such as epic, story, and task definition to resolve issues and remove barriers throughout the lifecycle of client engagementsCreation and maintenance of infrastructure-as-code for cloud, on-prem, and hybrid environments using tools such as Terraform, CloudFormation, Azure Resource Manager, Helm, and Google Cloud Deployment ManagerMentor, support and manage team membersQualificationsYour Skills And Experience Demonstrable experience in enterprise level data platforms involving implementation of end-to-end data pipelines Hands-on experience with at least one of the leading public cloud data platforms (Amazon Web Services, Azure or Google Cloud)  Experience with column-oriented database technologies (e.g., Big Query, Redshift, Vertica), NoSQL database technologies (e.g., DynamoDB, BigTable, Cosmos DB, etc.) and traditional database systems (e.g., SQL Server, Oracle, MySQL)Experience in architecting data pipelines and solutions for both streaming and batch integrations using tools/frameworks like Glue ETL, Lambda, Google Cloud DataFlow, Azure Data Factory, Spark, Spark Streaming, etc. Metadata definition and management via data catalogs, service catalogs, and stewardship tools such as OpenMetadata, DataHub, Alation, AWS Glue Catalog, Google Data Catalog.Test plan creation and test programming using automated testing frameworks, data validation and quality frameworks, and data lineage frameworksData modeling, querying, and optimization for relational, NoSQL, timeseries, graph databases, data warehouses and data lakesData processing programming using SQL, DBT, Python, and similar toolsLogical programming in Python, Spark, PySpark, Java, Javascript, and/or ScalaCloud-native data platform design with a focus on streaming and event-driven architecturesParticipate in integrated validation and analysis sessions of components and subsystems on production serversData ingest, validation, and enrichment pipeline design and implementationSDLC optimization across workstreams within a solution Bachelor’s degree in Computer Science, Engineering, or related fieldSet Yourself Apart With:Certifications for any of the cloud services like AWS, GCP or AzureExperience working with code repositories and continuous integrationUnderstanding of development and project methodologiesAdditional InformationBenefits of Working Here:Flexible vacation policy: time is not limited, allocated, or accrued15 paid holidays throughout the yearGenerous parental leave and new parent transition programTuition reimbursement Corporate gift matching program 

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    Ontario is one of the thirteen provinces and territories of Canada. Located in Central Canada, it is Canada's most populous province, with 38.3 percent of the country's population, and is the second-largest province in total area. Ontario is the fourth-largest jurisdiction in total area when the territories of the Northwest Territories and Nunavut are included. It is home to the nation's capital city, Ottawa, and the nation's most populous city, Toronto, which is also Ontario's provincial capital. Ontario is bordered by the province of Manitoba to the west, Hudson Bay and James Bay to the north, and Quebec to the east and northeast, and to the south by the U.S. states of (from west to east) Minnesota, Michigan, Ohio, Pennsylvania, and New York. Almost all of Ontario's 2,700 km (1,678 mi) border with the United States follows inland waterways: from the westerly Lake of the Woods, eastward along the major rivers and lakes of the Great Lakes/Saint Lawrence River drainage system. These include Rainy River, Pigeon River, Lake Superior, St. Marys River, Lake Huron, St. Clair River, Lake St. Clair, Detroit River, Lake Erie, Niagara River, Lake Ontario and the St. Lawrence River from Kingston, to the Quebec boundary just east of Cornwall. There is only about 1 km (0.6 mi) of land border, made up of portages including Height of Land Portage on the Minnesota border.Ontario is sometimes conceptually divided into two regions, Northern Ontario and Southern Ontario. The great majority of Ontario's population and arable land is in the south. In contrast, the larger, northern part of Ontario is sparsely populated with cold winters and heavy forestation.

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