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Senior Data Engineer

2 months ago

Toronto, Canada Capgemini Full time
Senior Data Engineer-077130

Description

Job Location: Toronto, Canada

Job Description :

As Sr Data Engineer, you will work on one of the world's largest social media platform which deals with a few petabytes of data coming to the system daily. You will supply as part of R&D self-organized team working in an ambitious, innovative environment for our client. Investigate, build, and implement the solutions for many technical challenges using groundbreaking technologies, including building/improving Data processing platform enabling work of software used by hundreds of millions of users.

Key Responsibilities:

Collaborate with multi-functional customers to collect data requirements. Develop data pipelines using python to import data into snowflake. Ensures that assigned area/areas are delivered within set deadlines and required quality objectives. Provides estimations, agrees task duration with the manager and supplies to project plan of assigned area. Analyzes scope of alternative solutions and makes decisions about area implementation based on their experience and technical expertise. Reports about area readiness/quality, and raise red flags in crisis situations which are beyond their AOR. Responsible for resolving crisis situations within their AOR. Initiates and conducts code reviews, crafts code standards, conventions, and guidelines. Suggests technical and functional improvements to supply to the product. Constantly improves their professional level.

Required Skills:

University degree in Computer Related Sciences or similar We needed 7+ Year of experience as Data engineer in crafting data pipelines for a cloud data warehouse. Strong python and SQL skills. Experience building data pipelines in python. Experience with extracting data from Rest APIs and ingesting it to a cloud data warehouse. Experience working with S3 buckets and writing DAGs on Airflow Experience programmatically working with any cloud data warehouse. Rigor in high code quality, automated testing, and other engineering standard processes. Effective communication, collaboration, and social skills. Result oriented approach. Good English (oral & written) and communication skills in general. Experience in AWS.

Life at Capgemini

Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer: 

Collaborating with teams of creative, fun, and driven colleagues Flexible work options enabling time and location-based flexibility Company-provided home office equipment  Virtual collaboration and productivity tools to enable hybrid teams Comprehensive benefits program (Health, Welfare, Retirement and Paid time off)  Other perks and wellness benefits like discount programs, and gym/studio access. Paid Parental Leave and coaching, baby welcome gift, and family care/illness days Back-up childcare/elder care, childcare discounts, and subsidized virtual tutoring  Tuition assistance and weekly hot skill development opportunities Experiential, high-impact learning series events Access to mental health resources and mindfulness programs Access to join Capgemini Employee Resource Groups around communities of interest