Software Engineer - Senior Data Engineer

Software Engineer - Senior Data Engineer-075884

Description

Job Location : Toronto, Canada

Job Description :

As a Senior Engineer, you will build distributed data processing solution and highly loaded database solutions for various cases including reporting, product analytics, marketing optimization and financial reporting.

Chip in as part of self-organized team of data engineers working in an innovative environment for our client, building the foundation for decision-making at a company dealing with billions of events per day.

Investigate, build and implement the solutions for existing technical challenges. Provide instruction, direction, leadership to a development team with the purpose of achieving project goals.

Key Responsibilities :

• They will receive tasks from the project lead and prepare functional and design specifications, approve them with their partners.
• Ensures that assigned area / areas are delivered within required quality objectives.
• Provides estimations, agrees task duration with the manager and gives to project plan of assigned area.
• Analyze scope of alternative solutions and makes decision about area implementation based on their technical expertise.
• Leads functional and architectural design of assigned areas. Makes sure design decisions on the project meet design requirements.
• Addresses area-level risks, provides and implements mitigation plan.
• Reports about area readiness / quality, and raises red flags in crisis situations which are beyond their AOR.
• Responsible for resolving crisis situations within their AOR.
• Initiates and conducts code reviews, code standards, conventions and guidelines.
• Suggests technical and functional improvements to make valuable contributions to the product.
• Constantly improves their professional level.
• Collaborates with other teams.

Required Skills :

• 5+ years of professional experience.
• University degree or equivalent experience in Computer Related Sciences or similar.
• Proficiency in writing and optimizing SQL queries which will run against Snowflake or Delta tables.
• Proficiency in Python programming languages.
• Validated experience in ETL orchestration and workflow management tool Airflow.
• Experience in Spark, Snowflake & Databricks.
• Experience in Flink & Tirno implementation.
• Knowledge in Spark streaming and Spark job optimizations and.configure the cluster for a Spark job depending on the load.
• Good knowledge of Kafka and integrating Kafka with Pyspark applications.
• Knowledge of Databricks and scheduling jobs using Workflow.
• Excellent interpersonal skills and experience working with technical and non-technical teams.
• Experience in AWS (EC2 / S2 / IAM).

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
Il y a plus de 30 jours