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Job Description & How to Apply Below
Company Description Baadalsoft LLC is a purpose-driven digital transformation partner specializing in designing, building, and modernizing CRM, ERP, custom applications, and data analytics platforms on Microsoft technologies. The team has deep expertise across Microsoft Dynamics 365, Power Platform, Microsoft Fabric, and Azure to drive operational efficiency, scalable growth, and measurable business outcomes. Baadalsoft helps organizations unify fragmented data tools using Fabric and lakehouse architectures, automate ETL pipelines with Synapse and Azure Data Factory, and deliver real-time reporting in Power BI.
The company also modernizes legacy applications on Azure and builds secure, cloud-native solutions using .NET, React, APIs, and SaaS integrations. This environment offers early-career professionals the opportunity to grow on modern Microsoft data and application stacks in close collaboration with experienced practitioners.
Role Description This is a full-time, on-site Junior Data Engineer role based in Hyderabad. The Junior Data Engineer will support the design, development, and maintenance of data pipelines on Azure, Microsoft Fabric, and related services. Daily tasks include building and monitoring ETL workflows, assisting with data ingestion from multiple sources, and preparing data models to support analytics and reporting in Power BI.
The role involves working with senior engineers to implement lakehouse and warehouse structures, optimize query performance, and ensure data quality, integrity, and security. The Junior Data Engineer will also collaborate with business and analytics teams to understand requirements, document technical solutions, and contribute to continuous improvement of data engineering practices.
Qualifications
- · Bachelor’s degree in Computer Science, Information Technology, Engineering, Data Science, or a related field (or equivalent practical experience) is preferred.
- 3 to 5 years of experience in data engineering, with a focus on designing and building data solutions on the Azure cloud platform.
- Candidates should possess foundational skills in Data Engineering and experience working with Azure data services (such as Azure Data Factory, Synapse, or Fabric).
- Candidates should possess skills in Data Modeling and Data Warehousing to design structured, scalable datasets for analytics and reporting.
- Candidates should possess skills in Extract Transform Load (ETL) and Data Analytics to build reliable pipelines and support insights delivery in tools like Power BI.
- Basic understanding of SQL and one programming or scripting language commonly used in data engineering (for example, Python, Scala, or .NET) is preferred.
- Familiarity with Microsoft Fabric, Power BI, and Azure cloud concepts, along with a strong interest in modern data platforms, is highly beneficial.
- Effective problem-solving abilities, attention to detail, and the capacity to collaborate in a team-oriented, on-site environment are required.
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