Staff Engineer, Big Data Engineer
Bengaluru, India
- Remote-first
- Website
- @nagarro 𝕏
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Nagarro
A digital product engineering leader, Nagarro drives technology-led business breakthroughs for industry leaders and challengers through agility and innovation.Company 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 (17500+ experts across 39 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!
Job Description
REQUIREMENTS:
- Total experience 7+ years.
- Excellent knowledge and experience in Big data engineer.
- Strong experience with Apache Spark in real-time and batch processing environments.
- Proficiency in Python and Scala for data engineering tasks.
- Solid experience with Google Cloud Platform (GCP) services: BigQuery, Cloud Storage, and DataProc.
- Hands-on experience with Cloud Composer (or Apache Airflow) for scheduling and managing data workflows.
- Solid understanding of distributed computing, parallel processing, and big data best practices
- Strong problem-solving and debugging skills
- Experience working in Agile/Scrum environments
- Familiarity with data modeling, data warehousing, and building distributed systems.
- Expertise in Spanner for high-availability, scalable database solutions.
- Knowledge of data governance and security practices in cloud-based environments.
- Problem-solving mindset with the ability to tackle complex data engineering challenges.
- Strong communication and teamwork skills, with the ability to mentor and collaborate effectively.
RESPONSIBILITIES:
- Writing and reviewing great quality code.
- Understanding the client’s business use cases and technical requirements and be able to convert them in to 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 client’s 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.
Qualifications
Bachelor’s or master’s degree in computer science, Information Technology, or a related field.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Airflow Architecture Big Data BigQuery Computer Science Data governance Dataproc Data Warehousing Distributed Systems Engineering GCP Google Cloud Python Scala Scrum Security Spark
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