Crowe
Hyderabad, Telangana, India Posted 23h ago
Crowe provides audit, tax, and consulting services, continuously investing in innovative ideas such as AI-enabled insights and technology-powered solutions. This junior role supports the design, development, and maintenance of data solutions using the Microsoft technology stack.
Key Responsibilities
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.
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.
Basic to intermediate knowledge of SQL, relational databases, and database design concepts.
Understanding of ETL/ELT concepts, data pipelines, data warehousing, data lakes, and data modeling fundamentals.
Basic knowledge of Microsoft Azure data services including Azure Data Factory and Azure Synapse.
Strong analytical, problem-solving, and logical reasoning skills.
Preferred Qualifications
Exposure to Python, PySpark, or scripting for data processing.
Basic understanding of Power BI, semantic models, dashboards, and reporting concepts.
Microsoft Certified Azure Data Fundamentals or Fabric Analytics Engineer Associate certification.
