CloudOps/DevOps Engineering Associate
Gurgaon, Haryāna, India
Metyis
We are a dynamic and forward-thinking consultancy firm that operates across a wide range of industries, creating solutions that are tailored to specific needs. We bring long-lasting impact and growth to our partners and clients. We are Metyis....Metyis is growing! We are looking for a CloudOps/DevOps Engineering Associate to join our Data and Analytics team in India.
Requirements
Who we are
We are Metyis, a forward-thinking, global company that collaborates with business partners and clients to create and implement the capacities and capabilities required to improve future performance. We operate across a wide range of industries, and with our embedded partnership model we commit to driving sustainable growth for industry-leading organisations, elevating their potential with a long-term vision.
At Metyis, we develop integrated solutions that enable growth by working within our business partners’ organisations with diverse and multidisciplinary teams. This collaborative environment allows Metyis to build strategies and execute them through an ecosystem that combines Big Data solutions, Digital Commerce solutions, Marketing & Design solutions, and Advisory services.
Our teams are set up so that you have plenty of room to build bigger and bolder ideas by speaking your mind and being creative with your knowledge. Imagine the things you could achieve with a multidisciplinary team that encourages you to be the best version of yourself.
We are Metyis. Partners for Impact.
What we offer
Interact with senior stakeholders at our clients on a regular basis to drive their business towards impactful change.
Become the go-to person for end-to-end Infrastructure management and deployment processes.
Lead your team in supporting data management, data visualization, and analytics products teams to deliver optimal solutions.
Become part of a fast-growing international and diverse team
What you will do
Assist in the creation and maintenance of data pipelines for data management, visualization, and analytics products.
Support the design of platform infrastructure, network, and security, and collaborate with senior engineers to ensure security, compliance, and cost efficiency in cloud environments.
Support the automation of infrastructure provisioning and configuration management using Terraform.
Help ensure our data platform operates efficiently and remains online.
Collaborate with senior team members to develop and deploy automated services and APIs.
Gain experience with Unix/Linux and network fundamentals.
Support deployment processes with CI/CD tools like Azure DevOps, GitHub Actions.
Work with Azure and its data platform and analytics components.
Develop skills in automation and open-source tools.
What you’ll bring
Understanding of IT operations and process re-engineering.
3+ years of experience in CloudOps, DevOps, or IT infrastructure.
Familiarity with Microsoft Azure, cloud fundamentals and Azure DevOps (other cloud platforms is a plus).
You’re proficient with scripting languages (e.g. Python, YAML, git, bash, PowerShell etc.)
You’re proficient with CI/CD tools (e.g. Azure DevOps Pipelines, GitHub Actions)
Azure certifications (AZ-104, AZ-400, AZ-305, or DP-203) are recommended and will be considered a plus.
Experience working in azure data platform projects
Familiarity with software engineering best practices in coding, software design patterns, testing & debugging
Strong problem-solving skills and a willingness to learn.
Interest in learning about data analytics and cloud operations.
Ability to work collaboratively in a team environment.
Good to have
You have experience with testing & data quality (e.g. pytest, great expectations, etc.)
You have experience of working in an Agile environment
You have experience with data processing frameworks like Spark and Databricks environment as DevOps or DataOps.
In a changing world, diversity and inclusion are core values for team well-being and performance. At Metyis, we want to welcome and retain all talents, regardless of gender, age, origin or sexual orientation, and irrespective of whether or not they are living with a disability, as each of them has their own experience and identity.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile APIs Azure Big Data CI/CD Data Analytics Databricks Data management DataOps Data pipelines Data quality Data visualization DevOps Engineering Git GitHub Linux Open Source Pipelines Python Security Spark Terraform Testing
Perks/benefits: Career development
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