Role: Azure Data Engineer Lead
Location: Gurugram
Expireance 10 to 15 Years
Notice Period: Immediate or serving notice period 15 Days
Salaray Budget: 25 LPA
Skills: Azure, Data Factory, Data Bricks, Data Lake ( Any programming JAVA, Python, Scala)
for Further details call me directly on 9305327734 Mani Singh : Modern ballistic solutions
Responsibilities
? Design, develop, and maintain scalable and reliable data pipelines and architectures
on the Azure platform that can handle large volumes and variety of data from multiple
sources.
? Lead and mentor a team of data engineers, providing technical guidance and
feedback.
? Collaborate with data scientists, analysts, and business stakeholders to understand
data needs and deliver solutions that meet business objectives and quality standards.
? Implement best practices and standards for data engineering, including data quality,
testing, documentation, and security.
? Research and evaluate new technologies and tools for data engineering on Azure and
recommend solutions that can improve performance, efficiency, and scalability.
? Develop and manage data ingestion frameworks, leveraging tools such as Azure Data
Factory (ADF), Databricks, and Azure Functions.
? Integrate APIs and manage data transformation processes using PySpark, Logic Apps,
and other relevant tools.
? Ensure secure and efficient data transfer using protocols like SFTP and implement
version control using GitHub.
Requirements
? Bachelor's degree or higher in computer science, engineering, or related field.
? 10-15 years of experience in data engineering, with a proven track record of leading
and delivering complex data projects.
? Expertise in Azure data engineering tools and frameworks, such as Azure Data
Factory (ADF), Databricks, and Azure Functions.
? Proficiency in programming languages, such as Python, Java, and Scala.
? Strong knowledge of data modeling, data structures, data quality, and data
governance.
? Excellent communication, collaboration, and problem-solving skills.
? Ability to work in a fast-paced and dynamic environment.
? Experience with API integration, Logic Apps, and SFTP.
? Familiarity with version control systems like GitHub.
Job Type: Full-time
Pay: ?2,400,000.00 per year
Benefits:
• Health insurance
• Life insurance
• Paid sick time
• Provident Fund
Schedule:
• Day shift
• Monday to Friday
Supplemental pay types:
• Performance bonus
• Yearly bonus
Experience:
• total work: 10 years (Preferred)
• Azure: 10 years (Preferred)
• Data Bricks: 10 years (Preferred)
• Data Lake: 10 years (Preferred)
• Data Factory: 10 years (Preferred)
Location:
• Gurugram, Haryana (Preferred)
Work Location: In person
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