Data Engineer
- Corporate
- Gurgaon, Bangalore
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Atkins, member of SNC Lavalin is one of the worlds’ leading engineering design Consultancies. We have the breadth and depth of expertise to respond to the most technically challenging and time critical infrastructure projects.
As a provider of multi-disciplinary technical services to the built environment, Atkins Transport Planning are committed to planning, enabling and designing excellence in the delivery of first-class solutions which combines innovation, imagination and best practices.
Consultancy Practice of the Transportation Division of Atkins in India supports Atkins’ various overseas operations, including those located in the India, UK, Europe, Middle East and North America.
Covid -19 Update for India
We’re committed to our vision of People. Drive. Success!
This implies that our Recruitment team would still be actively involved in the hiring and would contact the deserving candidates, once we start proceeding towards normalcy.
The below mentioned jobs, are open to those who wish to take up new assignments, once the pandemic subsides as we pave way for more futuristic openings, spanning our various disciplines/departments.
The applicants are requested to apply to only one relevant job posting as this would enable the recruiters to screen the applications, comprehensively and then get in touch with them.
Purpose of the Role:
This role is for a Lead Data Engineer to join our Analytics and Artificial Intelligence team.
Analytics and Artificial Intelligence team create state of art machine learning models to help business deliver high value, smart and market differentiating engineering products and services.
The focus of our team is innovative algorithms and models that make intelligent, automated, decisions in real time to make engineering process better, faster and accurate. To achieve that we collaborate with the engineering, sales, commercial and technology teams.
- You will be responsible to understand the client requirement and architect robust data platform on multiple cloud technologies.
- You will be responsible for creating reusable and scalable data pipelines
- You will be responsible for development and deployment of new data platforms
- You will be responsible for using Cloud data services for development of Big Data Platforms
- You will be responsible for creating reusable components for rapid development of data platform
- You will be responsible for deploying AI algorithms in to the data platform to run predictive analytics at scale.
- You will be responsible to provide the essential support to the application team who is responsible for the products user journey.
- Work closely with the Product Owners and stake holders to design the Technical Architecture for data platform to meet the requirements of the proposed solution.
- Work with the leadership to set the standards for software engineering practices within the machine learning engineering team and support across other disciplines
- Play an active role in leading team meetings and workshops with clients.
- Choose and use the right analytical libraries, programming languages, and frameworks for each task.
- Help the Data Engineering team produce high-quality code that allows us to put solutions into production
- Refactor code into reusable libraries, APIs, and tools.
- Help us to shape the next generation of our products.
Experience Required:
Essential:
- 3-5 years of experience in Data Warehousing with Big Data or Cloud
- Graduate degree educated in computer science or a relevant subject
- Good software engineering principals
- Knowledge of Big Data technologies, such as Spark, Hadoop/MapReduce is desirable but not essential
- Strong coding skills in Python.
- Deep knowledge of testing frameworks and libraries
- Working knowledge of the pros, cons and usages of various ML/DL applications (such as Keras, Tensorflow, Python scikit learn and R)
- Experience of working in Agile delivery
- Good knowledge of database management languages e.g. SQL, PostgreSQL.
Desirable:
- Contribution to industry/open source communities.
- Knowledge and practical experience of cloud-based platforms and their ML/DL offerings (such as Google GCP, AWS, and Azure) would be advantageous
- Understanding of infrastructure (including hosting, container-based deployments and storage architectures) would be advantageous.
At SNC-Lavalin, we seek to hire individuals with diverse characteristics, backgrounds and perspectives. We strongly believe that world-class talent makes no distinctions based on gender, ethnic or national origin, sexual identity and orientation, age, religion or disability, but enriches itself through these differences.
The successful candidate will need to:
- Be highly self-motivated and ambitious
- Be able to work with limited supervision
- Be able to adapt to different cultures and working environments to build rapport with customers
- Be able to build excellent working relationships with colleagues and clients
- Have experience of using written and spoken English within a business environment
- Knowledge in French would be an advantage.
Training:
Atkins develops individuals through a portfolio of training and development courses designed to help you make the best of your abilities and talents. We are an accredited Investor in People and run a Continuous Development Programme.
We in Atkins believe that people matter the most and this belief of ours has led to instilling a culture that embraces people irrespective of their race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
In today’s global market, diverse groups make better decisions and that better decisions lead to better business results, as such Atkins proactively recruiting and onboarding candidates from a diverse and talented applicant pool.
https://careers.snclavalin.com/covid-19-update-for-india
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