Junior Data Engineer

Your Journey at Crowe Starts Here: At Crowe, you can build a meaningful and rewarding career. With real flexibility to balance work with life moments, you’re trusted to deliver results and make an impact. We embrace you for who you are, care for your well-being, and nurture your career. Everyone has equitable access to opportunities for career growth and leadership. Over our 80-year history, delivering excellent service through innovation has been a core part of our DNA across our audit, tax, and consulting groups. That’s why we continuously invest in innovative ideas, such as AI-enabled insights and technology-powered solutions, to enhance our services. Join us at Crowe and embark on a career where you can help shape the future of our industry.

Job Description: Data Engineer – Microsoft Stack   Experience Level:   0–2 years   Title: Junior Data Engineer   Role Summary   We are looking for an enthusiastic and detail-oriented Data Engineer with 0–2 years of experience to support the design, development, and maintenance of data solutions using the Microsoft technology stack. The candidate will work with data platforms, pipelines, databases, and analytics teams to help transform raw data into reliable, secure, and business-ready datasets.

Assist   in building, testing, and   maintaining   data pipelines using Microsoft Azure services such as Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Microsoft Fabric, or related tools.   Support data ingestion, transformation, cleansing, and loading activities from structured, semi-structured, and unstructured data sources.   Work with SQL Server, Azure SQL Database, Azure Data Lake Storage, and other Microsoft data platforms to store, process, and manage data.   Write and   optimize   SQL queries, stored procedures, and basic data transformation scripts.   Collaborate with data analysts, BI developers, data scientists, and business stakeholders to understand data requirements and deliver reliable datasets.   Assist   in implementing data quality checks, validation rules, monitoring, and troubleshooting of data pipelines.   Support reporting and analytics initiatives using Power BI datasets, semantic models, or data marts as   required .   Follow data security, access control, governance, and compliance standards while handling enterprise data.   Document data flows, pipeline logic, data mappings, and technical specifications.   Continuously learn and apply best practices in cloud data engineering, automation, performance optimization, and modern data architecture.   Required Technical Skills   Basic to intermediate   knowledge of SQL, relational databases, and database design concepts.   Hands-on academic, internship, project, or work exposure to Microsoft SQL Server, Azure SQL Database, or equivalent relational database platforms.   Understanding of   ETL/ELT concepts, data pipelines, data warehousing, data lakes, and data modeling fundamentals.   Basic knowledge of Microsoft Azure data services such as Azure Data Factory, Azure Data Lake Storage Gen2, Azure Synapse Analytics, Azure Databricks, or Microsoft Fabric.   Exposure to Python,   PySpark , or scripting for data processing is preferred.   Basic understanding of Power BI, semantic models, dashboards, and reporting concepts is an added advantage.   Awareness of data security, role-based access control, encryption, data privacy, and governance concepts.   Familiarity with Git, Azure DevOps, CI/CD concepts, or Agile delivery practices is preferred.

Requirements   Bachelor’s degree in Computer Science , Information Technology, Data Science, Software Engineering, Electronics, Mathematics, Statistics, or   a related   technical discipline.   0–2 years of relevant experience in data engineering, database development, cloud data platforms, BI engineering, or analytics engineering.   Fresh graduates may be