Associate Staff Engineer (Data Engineer - Python)

In a changing and evolving world, challenges are ever more unique and complex. Nagarro helps to transform, adapt, and build new ways into the future through a forward-thinking, agile, and caring mindset. Today, we are 18,000+ experts across 37+ countries, forming a Nation of Nagarrians, ready to help our customers succeed.

The nature of IT & digital product engineering has reached an incredible state of velocity and transition. We must adapt and meet it with an agile mindset that isn't afraid to iterate towards the perfect solution. If we only solve today's problems, it's not enough. We must do more. We must courageously embrace the future, with vision and clarity about where technology & business are heading. Thinking breakthroughs gets us there.

Nagarro - https://www.nagarro.com/en

Job Description

Must have Skills : ETL Concepts (Strong), Python (Expert), Data Warehouse Design - General Experience

Good To Have Skills : Data Modeling (Strong)

ROLE PROFILE

Designs, builds, and optimizes scalable data infrastructure and pipelines to process and manage both structured and unstructured data, powering advanced AI solutions.

KEY RESPONSIBILITIES

Design, implement, and maintain robust ETL/ELT processes to ingest, clean, and transform data from multiple sources
Process and manage complex datasets to support business and analytical needs
Conduct regular testing and enhancement of data pipelines to improve efficiency
Implement best practices for data validation, testing, and monitoring, proactively identifying and resolving issues to maintain data integrity
Collaborate with software engineers and AI/ ML engineers to ensure seamless data accessibility
Implement best practices for data governance, security, and quality assurance
Document data architectures, lineage, and metadata to ensure transparency and reproducibility

Qualifications

5+ years of experience in data engineering, ETL development, or data warehousing
Demonstrated ability to design and manage ETL/ELT processes using tools like Databricks, Airflow, Luigi, or dbt to automate data workflows and transformations
Experience with big data architectures and optimizing data pipeline
Deep familiarity with SQL for data manipulation and querying
Strong coding skills in Python, and at least one other language (Scala/Java)
Hands-on experience with cloud-based data platforms (Azure/AWS/GCP)
Strong analytical skills for working with large-scale unstructured datasets
Ability to diagnose data issues, optimize performance, and communicate technical solutions effectively to both technical and non-technical stakeholders
Educational qualifications: Bachelor’s degree in Computer Science, Engineering, or related field required