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Sikich India is seeking an experienced Data Engineer to join our Data & AI practice. You will design, build, and optimize end-to-end data solutions using Microsofts data platforms, including Microsoft Fabric, Azure Synapse Analytics, Databricks, and Power BI. Your work will involve implementing contemporary data architecture patterns (e.g., medallion, Data Mesh, Zone-Based, or Lambda, etc.), creating robust data pipelines, and delivering insight-driven analytics to help clients make informed decisions. Sikich ( ) is a global company specializing in technology enabled-professional services. Sikich draws on a diverse portfolio of technology solutions to deliver transformative digital strategies and ranks as one of the largest CPA firms in the United States. Our dynamic environment attracts top-notch employees who enjoy being at the cutting edge and seeing every day how their work makes a difference. Key Responsibilities Data Engineering & Architecture Design and implement data solutions using ADF, Microsoft Fabric, Synapse, Databricks. Build data models for scalable data processing, endpoint processing, and integration. Develop and optimize data pipelines (real-time, batch, and BYOD). Data Modeling & Analytics Create semantic models and dimensional models in Power BI. Build enterprise dashboards, paginated reports, and self-service analytics solutions. Implement row-level security, complex DAX measures, and model optimizations. Platform Operations & Governance Apply Data Ops practices, monitoring, and performance tuning. Ensure data security, quality, and governance. Integrate predictive analytics with Azure ML where required. Required Skills & Experience 57 years of data engineering experience (minimum 3 years in Microsoft technologies). Strong expertise in Microsoft Fabric, Azure Synapse Analytics, Databricks, Power BI. Proficiency in SQL, T-SQL, Spark SQL, Python/Scala, DAX, Power Query (M). Experience with real-time streaming (Event Hubs/Kafka) and batch processing. Proven track record in implementing medallion architecture and enterprise BI solutions. Preferred Certifications (nice to have) Microsoft Certified: Azure Data Engineer Associate / Fabric Analytics Engineer Associate / Power BI Data Analyst Associate Databricks Certified Data Engineer Associate Qualifications Bachelors degree in computer science, Data Science, Engineering or related field (masters preferred). Strong problem-solving, communication, and client-facing skills. Why Join Us At Sikich, you will work on cutting-edge Microsoft data projects, collaborate with global teams, and contribute to solutions that shape the future of data-driven business decisions. We value innovation, collaboration, and continuous learning. .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.