Telangana, India
Onsite
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:
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.
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.
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.
Qualification 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 considered if they have completed relevant academic projects, internships, capstone projects, or hands-on training in Microsoft data technologies.
Strong analytical, problem-solving, and logical reasoning skills.
Ability to understand business requirements and convert them into technical data solutions under guidance.
Good communication skills and ability to work collaboratively in a team environment.
Willingness to learn Microsoft Azure, Microsoft Fabric, data engineering best practices, and modern cloud analytics platforms.
Good to have Certification Requirements
The candidate must have at least one relevant Microsoft certification or Training completed before joining or within the hiring eligibility window defined by the organization.
Microsoft Certified: Azure Data Fundamentals (DP-900) or Data Engineer related training certification.
Preferred for consideration: Microsoft Certified: Fabric Analytics Engineer Associate (DP-600), Microsoft Certified: Fabric Data Engineer Associate, or equivalent Microsoft data engineering certification aligned to current Microsoft certification paths.
Additional advantage: Power BI Data Analyst Associate certification or hands-on Microsoft Learn achievements related to Azure Data Factory, Microsoft Fabric, Azure Synapse, Azure SQL, or Power BI.
Preferred Attributes
Curiosity to learn new data technologies and apply them in real-world business scenarios.
Attention to detail in data validation, documentation, and quality checks.
Ability to work with large datasets and troubleshoot data-related issues.
Strong ownership mindset and willingness to work in a fast-paced delivery environment.
Interest in cloud data platforms, AI-ready data preparation, analytics engineering, and enterprise reporting solutions.
Optional exposure to AI adoption practices, including awareness of how AI tools, copilots, or automation can improve data engineering productivity, documentation, testing, and analytics workflows.
Success Measures
Ability to develop and maintain basic data pipelines under supervision.
Accuracy and reliability of data transformations and validation checks.
Timely completion of assigned tasks and technical documentation.
Demonstrated learning progress across Microsoft Azure, Microsoft Fabric, SQL, and data engineering practices.
Effective collaboration with analytics, engineering, and business teams.
We expect the candidate to uphold Crowe’s values of Care, Trust, Courage, and Stewardship. These values define who we are. We expect all of our people to act ethically and with integrity at all times.
Our Benefits:
At Crowe, we know that great people are what makes a great firm. We value our people and offer employees a comprehensive benefits package. Learn more about what working at Crowe can mean for you!
How You Can Grow:
We will nurture your talent in an inclusive culture that values diversity. You will have the chance to meet on a consistent basis with your Career Coach that will guide you in your career goals and aspirations. Learn more about where talent can prosper!
More about Crowe:
Crowe Capability Center – India, operating under the legal entity C3 India Delivery Centre LLP (formerly known as Crowe Horwath IT Services LLP) is a wholly owned subsidiary of Crowe LLP (U.S.A.), a public accounting, consulting and technology firm with offices around the world. Crowe LLP is an independent member firm of Crowe Global, one of the largest global accounting networks in the world. The network consists of more than 200 independent accounting and advisory firms in more than 130 countries around the world.
Crowe does not accept unsolicited candidates, referrals or resumes from any staffing agency, recruiting service, sourcing entity or any other third-party paid service at any time. Any referrals, resumes or candidates submitted to Crowe, or any employee or owner of Crowe without a pre-existing agreement signed by both parties covering the submission will be considered the property of Crowe, and free of charge.
We are committed to a merit-based hiring process, evaluating all candidates consistently using objective, job-related criteria such as relevant experience, demonstrated skills, measurable impact, and alignment with the role’s responsibilities, and making employment decisions in a fair and inclusive manner free from discrimination.
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