Azure Data Engineering Lead

2 weeks ago

Pune, India DFCS Technologies Full time

Lead Data Engineer

Position Summary :

As an Azure Data Engineering Lead, who will play a pivotal role in designing, developing, and managing our data engineering solutions on the Microsoft Azure platform. You will lead a team of data engineers to deliver scalable, reliable, and secure data pipelines that enable data-driven decision-making across the organization.

Key Responsibilities :

Technical Leadership :

- 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.

- Optimize data pipelines for performance and cost-efficiency.

- Ensure 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.

Required Skills and Experience :

- 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.

(ref:hirist.tech)

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