Associate Staff Engineer, Big Data Engineer 09/09/2025

2 weeks ago

Hyderabad, Telangana, India Nagarro Full time
Job Description

Job description

REQUIREMENTS:

- Total experience 4+ years.
- Hands-on experience in Big Data Engineering.
- Strong working experience in Python, Pyspark, Databricks and SQL.
- Hands on working experience in PySpark.
- Solid understanding of Spark performance tuning and optimization techniques.
- Experience with Databricks platform and Delta Lake.
- Knowledge of data modeling and ETL best practices.
- Familiarity with CI/CD pipelines for data engineering workflows is a plus.
- Excellent problem-solving skills and attention to detail.
- Experience with cloud platforms such as Azure or AWS.
- Knowledge of data governance, security, and privacy best practices.
- Background in big data tools and frameworks such as Hive, Kafka, or Airflow.
- Strong communication and collaboration abilities.

RESPONSIBILITIES:

- Writing and reviewing great quality code
- Understanding the clients 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 clients requirements
- Defining guidelines and benchmarks for NFR considerations during project implementation
- Writing and reviewing design documents 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.

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