Data Engineer – Azure

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🕒 June 11

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Logo of Sikich

Sikich

1001 - 5000 employees

🛡️ Insurance

📦 Logistics

📣 Marketing

💰 Private Equity Round on 2024-05

Insurance • Logistics • Marketing

Sikich is a global company specializing in technology-enabled professional services. With more than 1,900 employees, 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. The company provides a broad spectrum of services including accounting, financial advisory, tax planning, and investment banking to clients ranging from corporations to not-for-profits and government agencies. Sikich is known for its expertise in ERP & CRM software, cybersecurity, and cloud services, helping clients improve performance and achieve long-term strategic goals.

📋 Description

• 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) • 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 • Apply DataOps practices, monitoring, and performance tuning • Ensure data security, quality, and governance

🎯 Requirements

• 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 • Proven track record in implementing medallion architecture and enterprise BI solutions

🏖️ Benefits

• Family Health Insurance including parents • Life & Accident Insurance • Maternity/paternity leave • Performance-based incentives • Referral Bonus program • Exam Fee Reimbursement Policy • Indian festival holidays • 5 days working week • Meals facility • Doctor's consultation

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