- Job Role: Data Engineering Lead
- Location: Ottawa, ON
- Company: Accenture
- Salary: $89,500 to $204,100/Year
- Qualification: Graduate or Post graduate
- Experience: 5-8 Years
- Employment Type: Full Time
About Accenture:
Accenture is a worldwide professional offerings organization with essential competencies in virtual, cloud, and security. Combining unequaled revel in and specialized capabilities throughout more than forty industries, we provide Strategy and Consulting, Interactive, Technology, and Operations offerings—all powered with the aid of manner of the arena’s biggest community of Advanced Technology and Intelligent Operations facilities. Our 506,000 people supply on the promise of era and human ingenuity each day, serving customers in greater than a hundred and twenty nations. We consist of the energy of trade to create price and shared fulfillment for our customers, people, shareholders, companions, and groups.
Job Description:
We are attempting to find a reasonably skilled and skilled Data Engineering Lead to join our dynamic group at Accenture. As a Data Engineering Lead, you may be liable for designing, developing, and retaining our facts infrastructure, ensuring the green collection, storage, processing, and evaluation of large datasets. You will lead a group of data engineers and collaborate carefully with information scientists, analysts, and other stakeholders to supply exquisite data solutions that strain business enterprise insights and choice-making.
Data Engineering Lead Responsibilities:
1.Leadership and Team Management:
- Led, mentored, and increased a crew of data engineers, fostering a way of life of collaboration and non-stop development.
- Provide technical steerage and guide to organization individuals, ensuring adherence to exceptional practices and necessities in records engineering.
- Conduct normal performance evaluations, set desires, and provide comments to decorate group productiveness and engagement.
2.Data Architecture and Design:
- Design and put in force scalable and strong statistics architectures that help agency requirements and facts processing needs.
- Develop records models, schemas, and database systems to optimize information storage and retrieval.
- Ensure facts integrity, consistency, and protection throughout all data structures.
3.Data Pipeline Development:
- Build and hold inexperienced and reliable statistics pipelines to gather, transform, and load facts from several properties into data warehouses and records lakes.
- Implement ETL (Extract, Transform, Load) techniques to ensure facts exceptional and available for evaluation.
- Optimize facts pipelines for general overall performance, scalability, and value-effectiveness.
4.Collaboration and Communication:
- Work closely with information scientists, analysts, and commercial enterprise stakeholders to recognize information necessities and supply answers that meet their desires.
- Communicate complicated technical principles to non-technical stakeholders cleanly and concisely.
- Collaborate with skip-practical teams to ensure seamless integration of information solutions into normal organization tactics.
5.Technology and Innovation:
- Stay updated with cutting-edge day developments and upgrades in information engineering and related technology.
- Evaluate and propose new systems, frameworks, and technologies to decorate statistics engineering capabilities.
- Drive innovation and non-forestall improvement in statistics engineering practices.
6.Project Management:
- Lead data engineering tasks from inception to completion, ensuring nicely timed transport and adherence to task timelines and budgets.
- Develop task plans, allocate assets, and reveal improvement to obtain challenge desires.
- Identify and mitigate venture dangers and issues to make certain successful challenge effects.
Must Have Qualifications, Skills, Experience:
- Bachelor’s or Master’s diploma in Computer Science, Engineering, or a related discipline.
- Minimum of 5-8 years of revel in records engineering, with a confirmed music document of the most important data engineering teams.
- Strong know-how in record shape, statistics modeling, and database design.
- Proficiency in programming languages which include Python, Java, or Scala.
- Hands-on revel in records processing frameworks including Apache Spark, Hadoop, or comparable.
- Extensive expertise in ETL processes and gadgets.
- Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their facts services.
- Excellent trouble-fixing competencies and the potential to troubleshoot complicated facts issues.
- Strong communique and interpersonal abilities, with the capability to paint successfully in crew-oriented surroundings.
- Experience with agile methodologies and undertaking control equipment is a plus.
Why Join Accenture?
- Innovative Environment: Work with cutting-edge generations and collaborate with organization-leading professionals.
- Career Growth: Access to non-stop getting-to-know and improvement opportunities to decorate your abilities and beautify your profession.
- Inclusive Culture: Join a diverse and inclusive administrative center that values and respects each character.
- Global Impact: Contribute to impactful initiatives that power meaningful change for customers and groups around the arena.
How to Apply:
If you are obsessed with statistics engineering and excited about the possibility of a manual with a talented crew, we would like to pay attention to you. Please put up your resume and a cover letter outlining your relevant enjoy and why you are an exquisite match for this characteristic.
Accenture is an equal-possibility organization. We rejoice in variety and are devoted to growing an inclusive environment for all employees.
Join Accenture and be a part of a set that’s transforming the manner the world works and lives!
Click Here To Apply
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