Cloud Data Engineering Leader

1 day ago


Pune, Maharashtra, India DFCS Technologies Full time

**Job Title:** Cloud Data Engineering Leader

**Location:** [Location: Assuming based on the job title and company]

**Salary:** $180,000 - $220,000 per year

We are seeking a highly experienced Cloud Data Engineering Leader to join our team at DFCS Technologies. As a key member of our data engineering team, you will be responsible for designing, developing, and managing scalable, reliable, and secure data pipelines on the Microsoft Azure platform.

Main Responsibilities:

  • Provide technical leadership and guidance to the data engineering team.
  • Design and implement robust and scalable data pipelines using Azure Data Factory, Azure Synapse Analytics, Databricks, and other relevant tools.
  • Develop data ingestion, transformation, and loading processes to extract value from diverse data sources.
  • Orientate data quality, integrity, and security throughout the data lifecycle.
  • Collaborate with data scientists, analysts, and business stakeholders to understand their data needs and translate them into technical solutions.

Team Management:

  • Lead and mentor a team of data engineers.
  • Assign tasks, monitor progress, and provide timely feedback.
  • Foster a collaborative and innovative team culture.
  • Recruit and onboard new team members.

Cloud Architecture:

  • Design and implement cloud-native data architectures on Azure.
  • Leverage Azure Data Lake Storage for efficient data storage and retrieval.
  • Utilize Azure Synapse Analytics for unified data ingestion, analytics, and ETL.
  • Explore the capabilities of Microsoft Fabric for a unified data and analytics platform.

Data Governance:

  • Establish and enforce data governance policies and standards.
  • Implement data lineage and impact analysis to ensure data traceability.
  • Monitor data quality and identify potential issues.

Requirements:

  • Strong proficiency in Azure Data Factory, Azure Synapse Analytics, Databricks, and Azure Data Lake Storage.
  • Experience with SQL, Python, and PySpark.
  • Knowledge of data warehousing, data modeling, and ETL processes.
  • Understanding of cloud computing principles and Azure services.
  • Experience with data governance and data quality practices.
  • Strong problem-solving and analytical skills.
  • Excellent communication and interpersonal skills.
  • Ability to lead and mentor a team of data engineers.

Preferred Qualifications:

  • Experience with Microsoft Fabric.
  • Certifications in Azure Data Engineering or related fields.
  • Knowledge of machine learning and AI concepts.
  • Experience with DevOps practices and CI/CD pipelines.


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