Associate Staff Engineer, Big Data 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 (17500 experts across 39 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:

• Total experience: 5+ years.
• Excellent knowledge and experience in Bigdata Engineer role.
• Strong working experience with architecture and development in Spark, Python/Pyspark, Databricks, AWS Services (Glue, Lambda, EMR etc.), GIThub, SQL.
• Hands on experience in SQL, Spark and Databricks, deep knowledge in spark optimization and scd types, data governance practices, deployment strategies (Github actions) and integration with AWS.
• Strong experience in designing and building ETL/ELT pipelines.
• Strong knowledge of SQL, data transformations, and data modeling.
• Experience with Git and version control best practices.
• Exposure to DevOps practices (CI/CD, automated deployments).
• Strong problem-solving skills with a solution-first mindset.
• Excellent communication and stakeholder management skills.

RESPONSIBILITIES:

• Writing and reviewing great quality code.
• 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.