Data & AI Engineering - Data Engineer

Data & AI Engineering - Data Engineer-076290

Description

Job Location :

Canada (Hybrid) the closest Capgemini office.

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 chip in as part of R&D self-organized team working in a complicated, 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 partners 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 chips in 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, builds code standards, conventions, and guidelines.
• Suggests technical and functional improvements to make valuable contributions to the product.
• Constantly improves their professional level.

Required Skills :

• University degree in Computer Related Sciences or similar
• demonstrated ability as Data engineer in creating 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 Airfloow
• 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
30+ days ago