Senior Data & AI Engineer - Senior Data Engineer

Company:  Capgemini
Location: Old Toronto
Closing Date: 27/11/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
Location: Hybrid (Canada) Job Description: As a Senior Engineer, you will build distributed data processing solutions and highly loaded database solutions for various business cases including reporting, product analytics, marketing optimization, and financial reporting. Contribute as part of a self-organized team of experienced data engineers working in a challenging, innovative environment for our client, creating the foundation for decision-making at a company dealing with billions of events per day. Investigate, create, and implement solutions for existing technical challenges. Provide guidance, instruction, direction, leadership to a development team with the purpose of achieving project goals. Key Responsibilities: Obtains tasks from the project lead or Team Lead (TL), prepares functional and design specifications, approves them with all stakeholders. Ensures that assigned areas are delivered within set deadlines and required quality objectives. Provides estimations, agrees task duration with the manager, and contributes to the project plan of assigned area. Analyzes the scope of alternative solutions and makes decisions about area implementation based on experience and technical expertise. Leads functional and architectural design of assigned areas. Ensures design decisions on the project meet architectural and design requirements. Addresses area-level risks, provides, and implements mitigation plans. Reports on area readiness/quality and raises red flags in crisis situations beyond his/her AOR. Responsible for resolving crisis situations within his/her AOR. Initiates and conducts code reviews, creates code standards, conventions, and guidelines. Suggests technical and functional improvements to add value to the product. Constantly improves his/her professional level. Collaborates with other teams. Required Skills: University degree in Computer Related Sciences or similar with 8 years of professional experience. In-depth knowledge of Data Migration. Proficiency in Python programming languages and coding challenges. Proficiency in Databricks with 3+ years of experience in ETL orchestration and Airflow for workflow automation. Expert in Database fundamentals, Complex SQL, and distributed computing. Experience in Spark, Snowflake. Excellent communication skills and experience working with technical and non-technical teams. Nice to have: Experience in AWS (EC2/S3/IAM). 3+ years of experience with the Distributed data/similar ecosystem (Hive, Presto) and/or streaming technologies such as Kafka/Flink. Experience working with Redshift, PostgreSQL, and/or other DBMS platforms. Databricks certification. 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. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market-leading capabilities in AI, cloud, and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion. Disclaimer Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status, or any other characteristic protected by law. This is a general description of the Duties, Responsibilities, and Qualifications required for this position. Physical, mental, sensory, or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship. Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Applicants for employment in Canada must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in Canada by Capgemini. #J-18808-Ljbffr
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