Crowe: Junior Data Engineer

About Junior Data Engineer at Crowe

Crowe Capability Center India operates as an essential global delivery and innovation arm of Crowe LLP, providing high-value public accounting, consulting, and technology services across international client ecosystems. As a Junior Data Engineer specializing in the Microsoft technology stack, you will contribute directly to the modernization and management of mission-critical data architectures. In this foundational engineering role, you will build and support data platforms, automated pipelines, and cloud data warehouses that convert raw business datasets into dependable, structured assets powering enterprise analytics.

During day-to-day engineering workflows, you will engage deeply with relational database design, data cleansing protocols, and Extract, Transform, and Load (ETL) mechanisms. You will write robust T-SQL scripts, develop data ingestion pipelines using Azure Data Factory, and collaborate closely with senior data architects and business intelligence analysts. Operating within an agile delivery pod in Hyderabad, your contributions will guarantee data reliability, pipeline scalability, and high computational performance across diverse client engagements.

This role offers early-career data professionals a structured platform to master modern cloud data engineering best practices and enterprise Microsoft ecosystems. Over your first twelve months, you will gain hands-on exposure to cloud data migration, data governance standards, and automated pipeline orchestration, with opportunities to attain prestigious Microsoft Azure certifications. For aspiring engineers seeking rigorous mentorship, intellectual challenge, and meaningful client impact, Crowe provides an exceptional environment to cultivate a rewarding engineering career.

Roles & Responsibilities

• Design, build, and support automated data ingestion and transformation pipelines utilizing Azure Data Factory and Microsoft SQL Server.
• Develop and optimize complex T-SQL queries, stored procedures, views, and database indexing strategies to maintain high query throughput.
• Transform structured, semi-structured, and unstructured data streams into clean, validated, and analytics-ready datasets for business reporting.
• Maintain and monitor recurring ETL pipeline schedules, diagnosing pipeline execution failures and implementing proactive automated alerting.
• Implement data quality verification checks and automated reconciliation workflows to uphold strict data accuracy and regulatory compliance.
• Collaborate closely with business intelligence analysts, data architects, and functional consultants to fulfill reporting data requirements.
• Assist in architecting cloud-native data repositories using Azure SQL Database, Azure Synapse Analytics, and Azure Data Lake storage.
• Participate in sprint planning sessions, daily technical standups, and peer code reviews to ensure alignment with Crowe engineering standards.
• Document technical data lineage, pipeline architectures, data dictionary schemas, and operational runbooks for maintenance teams.
• Adopt modern cloud data engineering best practices, continuous integration workflows, and performance tuning methodologies continuously.

Requirements & Eligibility

• Bachelor's degree in Computer Science, Information Technology, Computer Applications, or a quantitative engineering discipline.
• 0 to 2 years of professional, internship, or comprehensive project experience in data engineering or database development.
• Strong foundational proficiency in relational database concepts, relational data modeling, and writing complex T-SQL / SQL queries.
• Hands-on academic, project, or professional exposure to Microsoft SQL Server, Azure SQL Database, or comparable database platforms.
• Familiarity with data warehousing concepts, dimensional modeling (star and snowflake schemas), and ETL / ELT pipeline design.
• Basic understanding or exposure to Microsoft Azure cloud services such as Azure Data Factory, Azure Blob Storage, or Azure Synapse.
• Possession of or active progress toward a Microsoft certification, such as Microsoft Certified Azure Data Fundamentals (DP-900).
• Familiarity with version control systems including Git alongside basic scripting abilities in Python or PowerShell is an advantage.
• Strong analytical reasoning, structured problem-solving approach, and meticulous attention to detail in data validation.
• Effective interpersonal, verbal, and written communication skills to collaborate seamlessly within cross-border technology pods.

Key Skills & Technologies

This role emphasizes core relational database development, Microsoft cloud data services, and automated enterprise ETL pipelines.

• Microsoft SQL Server & T-SQL: Utilized for advanced query authoring, stored procedure development, data modeling, and performance tuning.
• Azure Data Factory: Orchestration tool used to build automated, scheduled data ingestion and ETL/ELT pipelines across diverse sources.
• Azure SQL Database: Managed cloud database platform utilized for scalable enterprise data storage and structured query processing.
• ETL & Data Warehousing: Methodologies applied to clean, normalize, and organize complex business data into dimensional models.
• Python / PowerShell: Scripting languages used for data transformation tasks, API data ingestion, and pipeline automation.
• Git Version Control: Utilized for tracking database schema migrations, pipeline definition scripts, and collaborative code reviews.

Why Join Crowe?

• Build a thriving data career with an established global public accounting, consulting, and technology firm with an 80-year legacy of excellence.
• Work on high-impact digital transformation projects utilizing modern cloud platforms and AI-assisted data intelligence tools.
• Experience a people-centric workplace culture committed to flexibility, employee well-being, equity, and continuous professional growth.
• Benefit from dedicated support for professional certifications, including sponsored Microsoft Azure credentials and comprehensive training.

Expected Salary

Based on verified compensation data from Glassdoor, AmbitionBox, and PayScale for Junior Data Engineers and Capability Center Analysts at Crowe in Hyderabad, the expected annual compensation typically ranges between ₹6,00,000 and ₹9,00,000 per annum. Crowe provides a comprehensive employee benefits program including performance-linked bonuses, medical and wellness insurance coverage, and structured career advancement pathways. Final compensation offerings are calibrated according to candidate academic credentials, technical assessment results, and relevant project background.