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Senior Engineer, Big Data Engineer

Senior Engineer, Big Data Engineer

Nagarro
3-5 Years
Not Disclosed

This job is no longer accepting applications

Job Description

Job description

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 38 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in!

REQUIREMENTS:

  • Total experience 3+ years.
  • Excellent knowledge and experience in Big data engineer. 
  • Strong hands-on experience with PySpark and Apache Spark development.
  • Proficiency in Python for data processing and automation.
  • Expertise in SQL for querying, transformation, and performance tuning.
  • Hands-on experience with Databricks or similar cloud-based big data platforms.
  • Proven ability to work with large datasets in distributed computing environments.
  • Solid understanding of data engineering best practices, including version control, CI/CD, and testing.
  • Knowledge of data modeling, ETL frameworks, and workflow orchestration tools (e.g., Airflow, Azure Data Factory).
  • Experience with cloud platforms such as Azure, AWS, or GCP.
  • Familiarity with Delta Lake, Lakehouse architecture, or data warehousing concepts.
  • Excellent problem-solving and communication skills.

RESPONSIBILITIES:

  • Writing and reviewing great quality code
  • Understanding functional requirements thoroughly and analyzing the clients needs in the context of the project
  • Envisioning the overall solution for defined functional and non-functional requirements, and being able to define technologies, patterns and frameworks to realize it
  • Determining and implementing design methodologies and tool sets
  • Enabling application development by coordinating requirements, schedules, and activities.
  • Being able to lead/support UAT and production roll outs
  • Creating, understanding and validating WBS and estimated effort for given module/task, and being able to justify it
  • Addressing issues promptly, responding positively to setbacks and challenges with a mindset of continuous improvement
  • Giving constructive feedback to the team members and setting clear expectations.
  • Helping the team in troubleshooting and resolving of complex bugs
  • Coming up with solutions to any issue that is raised during code/design review and being able to justify the decision taken
  • Carrying out POCs to make sure that suggested design/technologies meet the requirements.

More Info

Key Skills

Big data engineer

Apache Spark development

About Company

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