Associate Staff Engineer Data Engineer - Python

Company Description

• 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 isnt afraid to iterate towards the perfect solution.
• If we only solve todays problems, its 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

Job Details

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