Technical Lead Data Engineer (Databricks)

👋🏼 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 (17 500+ experts across 37 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!

By this point in your career, it is not just about the tech you know or how well you can code. It is about what more you want to do with that knowledge. Can you help your teammates proceed in the right direction? Can you tackle the challenges our clients face while always looking to take our solutions one step further to succeed at an even higher level? Yes? You may be ready to join us.

As a Technical Lead, you will be responsible for technical leadership of Agile Team(s) within our Business Analytics & Insights (BAI) team. You will work closely with cross-functional teams to deliver high-quality solutions in domains such as Supply Chain, Finance, Operations, Customer Experience, HR, Risk Management, and Global IT.

• Develop a comprehensive technical plan for migration, including data ingestion, transformation, storage, and access control in Azure's Data Factory and data lake.
• Design and implement scalable and efficient data pipelines to ensure smooth data movement from multiple sources using Azure Databricks.
• Developing scalable and re-usable frameworks for ingesting data sets.
• Ensure data quality and integrity throughout the entire data pipeline, implementing robust data validation and cleansing mechanisms.
• Working with event based / streaming technologies to ingest and process data.
• Provide technical guidance and support to the team, resolving any technical challenges or issues that may arise during the migration and post-migration phases.
• Stay up to date with the latest advancements in cloud computing, data engineering, and analytics technologies, and recommend best practices and industry standards for implementing the data lake solution.

Technical skills:

• 8+ years of Data Engineering experience.
• Minimum 4 years of experience working with Azure Databricks.
• Experience in Data Modelling & Source System Analysis.
• Familiarity with PySpark.
• Mastery of SQL.
• Knowledge of components: Azure Data Factory, Azure Data Lake, Azure SQL DW, Azure SQL
• Experience with Python programming language used for data engineering purpose.
• Ability to conduct data profiling, cataloging, and mapping for technical design and construction of technical data flows.
• Experience in data visualization/exploration tools.

Soft skills:

• Providing technical leadership and guidance to teams.  
• Strong problem-solving skills and the ability to translate business requirements into actionable data science solutions.
• Excellent communication skills, with the ability to effectively convey complex ideas to technical and non-technical stakeholders.
• Strong team player with excellent interpersonal and collaboration skills.
• Ability to manage multiple projects simultaneously and deliver high-quality results within specified timelines.

Nice-to-have skills/certifications:

• Microsoft Certified: Azure Data Engineer Associate.
• Experience preparing data for Data Science and Machine Learning.
• Knowledge of Jupyter Notebooks or Databricks Notebooks for Python development.
• Power BI Dataset Development and Dax.
• Power BI Report development.