Associate Principal Engineer (Big Data Cloud Engineer)

👋🏼We're Nagarro, we are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (18000+ experts across 36 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!

REQUIREMENTS:

• Should Have strong technical background with Spark, Python/Scala, AWS (S3, EMR, Glue etc.) / Azure (Databricks, ADF, Synapse), SQL Server/NoSQL.
• 8+ years of professional experience in data engineering or related roles.
• Expertise in AWS/Azure cloud services, with hands-on experience in managing and deploying scalable data solutions.
• Proficiency in Databricks and Spark for big data processing.
• Strong programming skills in Python, including libraries especially PySpark.
• Experience with data modelling, data warehousing, and working with structured and unstructured data.
• Familiarity with data engineering frameworks and tools.
• Understanding of retail domain concepts and the ability to align data solutions with retail-specific use cases.
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills.

RESPONSIBILITIES:

• Understanding the clients business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements.
• Mapping decisions with requirements and be able to translate the same to developers.
• Identifying different solutions and being able to narrow down the best option that meets the clients requirements.
• Defining guidelines and benchmarks for NFR considerations during project implementation
• Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers
• Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed.
• Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it
• Understanding and relating technology integration scenarios and applying these learnings in projects
• Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken.
• Carrying out POCs to make sure that suggested design/technologies meet the requirements.