Senior Developer

Summary

Join Nagarro, a rapidly growing digital product engineering company, as a Senior Developer. You will collaborate with cross-functional teams to deliver high-quality solutions across various domains. This role involves developing comprehensive technical plans for data migration in Azure, designing and implementing data pipelines using Azure Databricks, and ensuring data quality. You will provide technical guidance to the team, stay updated on the latest technologies, and translate business requirements into actionable data science solutions. The ideal candidate possesses extensive experience in data engineering, Azure technologies, and strong problem-solving and communication skills.

Requirements

• 7 to 10 years of IT experience
• Min. 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 purposes
• Ability to conduct data profiling, cataloging, and mapping for technical design and construction of technical data flows
• Experience in data visualization/exploration tools
• 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

Responsibilities

• Develop a comprehensive technical plan for the 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

Preferred Qualifications

• 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