Job Description

Metyis is growing! We are looking for a Senior Fullstack Engineer with 3-8 years of experience to join our Data and Analytics team in Bangalore.

Who we are

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We are Metyis, a forward-thinking, global company that develops and delivers solutions around Big Data, Digital Commerce, Marketing and Design and provides Advisory services. We have offices in 15 locations with a talent pool of 1000+ employees and more than 50 nationalities, dedicated to creating long-lasting impact and growth for our business partners and clients.


Together with HUGO BOSS, our esteemed business partner, we have embarked on a joint venture and created the HUGO BOSS Digital Campus, dedicated to increasing the data analytics, eCommerce and technology capabilities of the company and boosting digital sales. The HUGO BOSS Digital Campus employees will help create a state-of-the-art data architecture infrastructure, advanced business analytics, and the development and enhancement of HUGO BOSS' eCommerce platform and services.


This collaborative environment will provide the capabilities required for HUGO BOSS to maximise data usage and support its growth trajectory towards becoming the leading premium tech-driven fashion platform worldwide.

What we offer

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Enjoy a high level of responsibility and immediate client interactions under the guidance of senior team members. Interact with data engineers on regular basis to drive innovation and create impact on our clients. Help our clients to target, measure and improve mission-critical business metrics and generate demonstrable return on investment. Become part of a fast-growing international and diverse team.

What you will do

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We are looking for a data professional to join our Data & Analytics team.

Work on a company-wide batch & streaming data processing framework that can be viewed as a software application as part of an IT-Analytics team of data engineers Design, develop, test, and deploy software & data pipelines using various batch & streaming technologies, and automate & monitor CI/CD/CT pipelines for an Azure based Data Platform Optimize existing code for performance, reliability, and scalability Debug and troubleshoot issues and provide technical support as needed Follow best practices and standards for coding, documentation, testing, and security Mentor and provide technical guidance to other data professionals, fostering a culture of knowledge sharing and continuous learning Be proactive and be willing to work closely with Data Science, DevOps/MLOps, Cloud Infrastructure, or IT-Security colleagues Research and evaluate new technologies and trends to improve existing software or create new solutions

What you will bring

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From 3 to 8 years of professional software development experience using languages such as Python, Spark, SQL, Scala, or Rust Strong knowledge of cloud technology such as Microsoft Azure, or GCP Strong knowledge of all-in-one analytics platforms such as Databricks, or Microsoft Fabric Strong knowledge of data pipeline orchestration platforms such as Azure Data Factory, or Control-M Experience in using data warehouse and data lake solutions such das SAP BW and Azure Data Lake Experience with test driven development as well as with testing & data quality frameworks such as pytest, or great expectations in Python Experience with SQL & No-SQL databases such as Azure SQL, or MongoDB Experience with RESTful APIs and microservice architecture Experience with GIT version control Strong knowledge of software design patterns & principles, functional programming, and object-oriented programming Strong ability to write clean, maintainable and scalable code Strong knowledge of Azure Event Hub, Apache Kafka and its ecosystem Strong knowledge of stream processing frameworks such as Confluent KSQL, or Spark Structured Streaming Strong knowledge of containerisation and orchestration technologies such as Docker, or Kubernetes Experience with data serialization languages such as JSON, or YAML Experience with infrastructure as code such as Terraform Experience with DevOps tools such as Azure DevOps, or GitHub Experience with agile methodologies, such as Scrum or Kanban (e.g. with tools such as Azure DevOps, or Jira/Confluence) Academic degree in computer science, software engineering, machine learning engineering, or related field Excellent communication, collaboration, and problem-solving skill

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.