Azure Data Migration Engineer

Summary

Join Nagarro, a rapidly growing digital product engineering company, and contribute your expertise to build innovative products and services. As a Data Engineer, you will develop comprehensive technical plans for data migration within Azure's ecosystem, design and implement scalable data pipelines using Azure Databricks, and ensure data quality and integrity. You will provide technical guidance to the team, stay current with advancements in cloud technologies, and collaborate effectively with stakeholders. This role requires extensive experience with Azure services, data engineering principles, and programming languages like PySpark and Python. Nagarro offers a dynamic and non-hierarchical work culture.

Requirements

• 5 to 7 years of IT experience
• Minimum of 4 years of experience working with Azure Databricks
• Expertise in Data Modeling and Source System Analysis
• Proficiency with PySpark
• Mastery of SQL
• Knowledge of Azure components: Azure Data Factory, Azure Data Lake, Azure SQL DW, and Azure SQL
• Experience with Python programming for data engineering purposes
• Ability to conduct data profiling, cataloging, and mapping for technical design and construction of technical data flows
• Experience with data visualization and exploration tools
• Demonstrated ability to provide 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 convey complex ideas effectively to both technical and non-technical stakeholders
• Strong team player with outstanding interpersonal and collaboration skills
• Ability to manage multiple projects simultaneously, delivering high-quality results within specified timelines

Responsibilities

• Develop a comprehensive technical plan for the migration, including data ingestion, transformation, storage, and access control within 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
• Develop scalable and reusable frameworks for data ingestion
• Ensure data quality and integrity throughout the data pipeline, implementing robust data validation and cleansing mechanisms
• Work with event-based and streaming technologies to ingest and process data
• Provide technical guidance and support to the team, resolving technical challenges or issues during the migration and post-migration phases
• Stay current with advancements in cloud computing, data engineering, and analytics technologies, recommending best practices and industry standards for implementing data lake solutions

Preferred Qualifications

• Microsoft Certified: Azure Data Engineer Associate
• Experience preparing data for Data Science and Machine Learning
• Familiarity with Jupyter Notebooks or Databricks Notebooks for Python development