Job Title:
Senior Azure Databricks Engineer
Company: Quant-data.io
Location: Amravati, Maharashtra
Created: 2025-08-01
Job Type: Full Time
Job Description:
We’re Hiring: Senior Azure Databricks Engineer (Remote | Full-Time) Join us to build scalable, cloud-native data solutions using cutting-edge technologies We’re looking for an experienced and driven Senior Azure Databricks Engineerto join our growing team. This role is ideal for professionals with6–10 yearsof experience in thedata engineering space , especially those skilled inPython, Spark, SQL, Azure (ADLS, ADF) ,Databricks , andETL development . You’ll design and develop robust data pipelines that drive analytics and data science solutions across the organization. Role:Senior Data Engineer ️ Mandatory Skills:Python, Spark, SQL, ADLS, Databricks, ADF, ETL Work Type:Full-TimeorPart-Time(Remote / Work from Home) Key Responsibilities: Design and implement scalable data pipelines usingAzure Data Factory (ADF)andDatabricks , following best practices. PerformETLprocesses across large datasets, ensuring high data quality and integrity. UsePythonandSparkto build complex transformations and aggregations. Integrate data pipelines withAPIsand external systems. Monitor and troubleshoot pipelines to ensure smooth operation. Collaborate withdata scientists, analysts , and other engineering teams to deliver insights. Act as asolution architecton Azure-based cloud data projects. Demonstrate expert-level knowledge inSpark , with solid experience inSQL, Python, Java, or Scala . Contribute to the architecture and operationalization ofdata lakes, warehouses , and analytics platforms across cloud and on-prem. Communicate complex solutions clearly across stakeholders. (Bonus: Experience in Insurance domain is a plus.) Data Quality & Catalog Focus: Ensureaccuracy and completenessof data through profiling and validation. Applydata quality frameworksand adhere to governance standards. Work with cataloging tools to maintain clear metadata and documentation. Foster collaboration to support reliable and trusted data assets. Whether you're looking for afull-time opportunityorpart-time flexibility , this role offers a chance to work with modern tools in a high-impact environment.