Role Overview
Linkedin is hiring a entry-level Data Analytics Engineer SQL. This is a full-time role in Nagpur. Part of Linkedin's Security hiring. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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Job Description
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 Microsoft’s data platforms, including Microsoft Fabric, Azure Synapse Analytics, Databricks, and Power BI. Your work will involve implementing contemporary data architecture patterns (e.g., 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. 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.
Platform Operations & Governance
Apply DataOps practices, monitoring, and performance tuning.
Ensure data security, quality, and governance.
Integrate predictive analytics with Azure ML where required.
Required Skills & Experience
- 5–7 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.
- Microsoft Certified: Azure Data Engineer Associate / Fabric Analytics Engineer Associate / Power BI Data Analyst Associate
Databricks Certified Data Engineer Associate
Bachelor’s degree in computer science, Data Science, Engineering or related field (master’s preferred).
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.
Frequently Asked Questions
How do I apply for the Data Analytics Engineer SQL position at Linkedin?
Use the Apply button above to submit your application directly to Linkedin. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Data Analytics Engineer SQL position at Linkedin located?
This position is based in Nagpur. Linkedin has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a Data Analytics Engineer SQL at Linkedin earn?
Linkedin has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Data Analytics Engineer SQL role at Linkedin posted?
This role was posted on March 23, 2026 (77 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
Is the Data Analytics Engineer SQL role at Linkedin entry-level?
Yes. This is an entry-level position. Strong candidates typically have 0-2 years of relevant work experience, internships, or significant project work. Read the full description for any specific qualification requirements Linkedin has listed.
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