Live opening · Posted 5 days ago

Data Engineer | Mumbai Goregoan ( WFO ) | Pune - Baner ( Hybrid)

AppZime Technologies · Mumbai, Maharashtra, India (On-site)
Linkedin No
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At a glance

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Posted 5 days ago
CompanyAppZime Technologies
LocationMumbai, Maharashtra, India (On-site)
Work modeNo
SourceLinkedin
Listed5 days ago

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About the role

Description supplied by the original job listing.

🚀 𝗪𝗲’𝗿𝗲 𝗛𝗶𝗿𝗶𝗻𝗴 | 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿
Are you an experienced **Data Engineer** passionate about building scalable data pipelines and cloud-based data solutions? We’re looking for professionals who can work on data engineering initiatives supporting analytics, reporting, and ML.
📌 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲: 𝟯–𝟲 𝗬𝗲𝗮𝗿𝘀
📍 𝗟𝗼𝗰𝗮𝘁𝗶𝗼𝗻: 𝗠𝘂𝗺𝗯𝗮𝗶 / 𝗣𝘂𝗻𝗲
🏢 𝗪𝗼𝗿𝗸 𝗠𝗼𝗱𝗲: 𝗠𝘂𝗺𝗯𝗮𝗶 – 𝗪𝗙𝗢 | 𝗣𝘂𝗻𝗲 – 𝗛𝘆𝗯𝗿𝗶𝗱
🎯 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄: 𝗜𝗻-𝗽𝗲𝗿𝘀𝗼𝗻
🔥 𝗠𝘂𝘀𝘁-𝗛𝗮𝘃𝗲 𝗦𝗸𝗶𝗹𝗹𝘀
✅ Azure Data Factory (ADF)
✅ Azure Databricks
✅ PySpark
✅ SQL
✅ Python
💼 𝗞𝗲𝘆 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀
• Design, build, and optimize scalable data pipelines and workflows
• Develop cloud-based data solutions using Azure technologies
• Work with Databricks, Data Factory, and Azure DevOps
• Translate business and analytical requirements into scalable data solutions
• Develop data integration solutions using Python, PySpark, and SQL
• Work across data ingestion, transformation, and delivery layers
• Contribute to CI/CD pipeline development and deployment
• Build production-ready data engineering solutions in Agile environments
• Collaborate with data analysts, data scientists, and business stakeholders
🎯 𝗪𝗵𝗮𝘁 𝗪𝗲’𝗿𝗲 𝗟𝗼𝗼𝗸𝗶𝗻𝗴 𝗙𝗼𝗿
• Strong hands-on experience with Python, PySpark & SQL
• Strong Azure ecosystem experience
• Hands-on experience with ADF, Databricks & Azure DevOps
• Understanding of CI/CD for data workflows
• Experience with relational databases such as SQL Server, Oracle, or MySQL
• Understanding of APIs/web services and data security
• Strong communication, collaboration, and problem-solving skills
📩 𝗜𝗻𝘁𝗲𝗿𝗲𝘀𝘁𝗲𝗱 𝗰𝗮𝗻𝗱𝗶𝗱𝗮𝘁𝗲𝘀 𝗰𝗮𝗻 𝘀𝗵𝗮𝗿𝗲 𝘁𝗵𝗲𝗶𝗿 𝘂𝗽𝗱𝗮𝘁𝗲𝗱 𝗿𝗲𝘀𝘂𝗺𝗲 𝗮𝘁:
[𝗽𝗿𝗶𝘆𝗮.𝗰𝗵𝗮𝘂𝗵𝗮𝗻@𝗮𝗽𝗽𝘇𝗶𝗺𝗲.𝗰𝗼𝗺]
📌 𝗣𝗹𝗲𝗮𝘀𝗲 𝗺𝗲𝗻𝘁𝗶𝗼𝗻 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿” 𝗶𝗻 𝘁𝗵𝗲 𝘀𝘂𝗯𝗷𝗲𝗰𝘁 𝗹𝗶𝗻𝗲.
#𝗛𝗶𝗿𝗶𝗻𝗴 #𝗗𝗮𝘁𝗮𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 #𝗗𝗮𝘁𝗮𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 #𝗔𝘇𝘂𝗿𝗲 #𝗔𝘇𝘂𝗿𝗲𝗗𝗮𝘁𝗮𝗙𝗮𝗰𝘁𝗼𝗿𝘆 #𝗗𝗮𝘁𝗮𝗯𝗿𝗶𝗰𝗸𝘀 #𝗣𝘆𝗦𝗽𝗮𝗿𝗸 #𝗦𝗤𝗟 #𝗣𝘆𝘁𝗵𝗼𝗻 #𝗔𝘇𝘂𝗿𝗲𝗗𝗲𝘃𝗢𝗽𝘀 #𝗗𝗮𝘁𝗮𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 #𝗖𝗹𝗼𝘂𝗱𝗗𝗮𝘁𝗮 #𝗠𝘂𝗺𝗯𝗮𝗶𝗝𝗼𝗯𝘀 #𝗣𝘂𝗻𝗲𝗝𝗼𝗯𝘀 #𝗧𝗲𝗰𝗵𝗝𝗼𝗯𝘀

Work arrangement
No

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