Full-Time Big Data Engineer
Nagarro is hiring a remote Full-Time Big Data Engineer. The career level for this job opening is Experienced and is accepting India based applicants remotely. Read complete job description before applying.
Nagarro
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REQUIREMENTS: Total experience 7+ years.Excellent knowledge and experience in Big data engineering. Strong hands-on experience with Apache Spark (PySpark) and Scala. Proficiency in SQL for data transformation and querying.Deep understanding of AWS Data Services: S3, Glue, Redshift, EMR. Experience with streaming data tools (Kafka or Kinesis). Familiarity with CI/CD practices and version control systems (e.g., Git). Solid knowledge of data modeling, data lake architecture, and cloud-native data pipelines. 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.Bachelor’s or master’s degree in computer science, Information Technology, or a related field.
RESPONSIBILITIES: Writing and reviewing great quality code. Understanding the client’s 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 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.