Data Engineer

Title:Job Summary: •1.Strong expertise in key Azure services: Azure Data Factory, Azure Data Lake Storage Gen 2, Azure Key Vault, Logic Apps, Azure DevOps, Azure SQL DB, and Azure Synapse. • Proficiency in Python and experience with Azure Databricks and PySpark.

Job Description:  Lead data platform modernization and data warehouse implementation on Azure Synapse.
•         Oversee and guide the development of data pipelines using Azure Databricks, Python, and PySpark.
•         Collaborate with stakeholders to define requirements and deliver robust data solutions.
•         Collaborate with Reporting team to finalize reporting datamart model and other reporting data requirements.
•         Implement and enforce data architecture best practices, governance policies, and security measures.
•         Mentor and manage the data engineering team to ensure project milestones are achieved.
•         Solid understanding of data modelling, ETL processes, data integration & reporting DataMart best practices.
•         Good Understanding of implementing Data Quality checks along with Data Pipelines.
•         Excellent leadership, communication, and project management skills.
•         Proven track record in leading large-scale data projects on Azure Cloud.
•         Ability to translate business requirements into technical solutions.
•         Strong problem-solving abilities and attention to detail.
•         Effective team player with strong interpersonal skills