- Job Title: Data Engineering Lead
- Salary: Not Disclosed
- Location: Vancouver, BC
- Company: Accenture
- Qualifications: Bachelor’s Diploma
- Experience: 2 of 3 Years
- Job Type: Full-time
- Hybrid work
ABOUT ACCENTURE
Accenture is a global expert offerings organization with a strong presence in Canada, providing a giant kind of offerings in approach, consulting, digital, era, and operations. With a focus on innovation and enterprise knowledge, Accenture facilitates Canadian corporations to rework and navigate the complexities of the virtual age. The agency leverages current eras like AI, cloud computing, and statistics analytics to supply tailored answers that electricity boom, beautify performance, and beautify patron tales.
Accenture’s Canadian personnel is numerous, inclusive, and obsessed with growing costs forr clients at some point in sectors together with finance, healthcare, power, and public services. The enterprise is devoted to fostering a manner of existence of non-prevent getting-to-know, collaboration, and sustainability. With recognition for excellence and robust recognition of handing over outcomes, Accenture continues to be a depended-on accomplice for businesses seeking to innovate and stay aggressive in a hastily changing global.
Job Overview:
We are looking for a specially professional and motivated Data Engineering Lead to guide our dynamic group of records engineers. As a Data Engineering Lead, you’ll play an important position in building, handling, and optimizing the records infrastructure and pipelines that power the analytics and records-driven desire-making throughout the agency. The ideal candidate may additionally have good-sized enjoyment in statistics engineering, robust management capabilities, and an ardor for running with present-day technologies.
Key Responsibilities For Data Engineering Lead:
Leadership & Team Management:
- Led and mentored a group of facts engineers, fostering a collaborative and high-basic performance way of life. Provide steering, schooling, and career improvement possibilities for crew participants.
Data Pipeline Development:
- Oversee the layout, implementation, and optimization of scalable, high-overall performance information pipelines that combine severa statistics resources (inner and outside). Ensure the top-notch, availability, and accuracy of statistics in the course of structures.
Architecture & Infrastructure:
- Drive the design and implementation of statistics architectures, inclusive of records lakes, information warehouses, and real-time streaming platforms. Ensure the architecture is strong, scalable, and optimized for performance.
Collaboration with Cross-Functional Teams:
- Work carefully with records scientists, analysts, business intelligence groups, and different stakeholders to apprehend records necessities and supply solutions that assist business employer needs.
Data Quality & Governance:
- Establish and maintain strong information governance practices, making sure facts are integrity, safe, and compliance with applicable regulations (e.g., GDPR, CCPA).
Continuous Improvement & Innovation:
- Keep updated with industry trends, new technologies, and quality practices. Introduce modern-day solutions to enhance information engineering practices, systems and,, approaches.
Documentation & Reporting:
- Maintain documentation of records pipeline architectures, workflows, and strategies. Ensure transparency and information sharing inside the crew.
Required Qualifications:
- Education: Bachelor’s or Master’s diploma in Computer Science, Engineering, Information Systems, or a related area.
- Experience: 7+ years in data engineering or related roles, with at least 3 years in management or manipulation potential.
Technical Skills:
- Strong talent in Python, SQL, and records modeling.
- Experience with cloud structures (AWS, GCP, Azure) and records tools (e.g., Spark, Hadoop, Kafka, Airflow).
- Expertise in ETL procedures, statistics warehousing, and actual-time facts pipelines.
- Knowledge of containerization and orchestration technology (e.g., Docker, Kubernetes).
Desired Skills:
- Experience with machine mastering statistics pipelines.
- Familiarity with information visualization equipment (e.g., Tableau, Power BI).
- Strong hassle-solving and analytical abilities.
- Excellent communication and collaboration abilities.
Benefits:
- Competitive income and advantages package deal.
- Flexible walking hours and far-off painting options
- Career boom and development possibilities.
Click Here to Apply Now
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