Location: Chennai (5 days Work from Office)
Experience Level: 8 to 15 years
Shift Timings: Normal Shift
Role Overview:
As a Lead Data Engineer, you will play a crucial role in designing, developing, and
maintaining our data infrastructure. You will lead a team of data engineers to ensure the
successful delivery of projects and contribute to the overall data strategy. The ideal candidate
will have extensive experience in cloud-based data technologies, particularly in Azure, and a
proven track record of implementing scalable and efficient data solutions.
Key Responsibilities:
Lead the design, development, and maintenance of data infrastructure.
Oversee and mentor a team of data engineers.
Ensure successful project delivery and adherence to data strategy.
Collaborate with stakeholders to understand and implement data requirements.
Implement best practices for data modeling, transformation, and quality
Skills Required:
Bachelor’s or master’s degree in Computer Science, Engineering, or a related field.
8 to 15 years of experience in data engineering, with a focus on Microsoft
technologies.
Proficiency in Azure data services, including Azure Databricks, Azure Synapse
Analytics, and Azure Data Factory.
Hands-on experience with Microsoft SQL Server Integration Services (SSIS).
Strong understanding of data modeling concepts and database design principles.
Excellent communication and leadership skills, with the ability to effectively
collaborate with stakeholders at all levels.
Experience working in an Agile development environment is preferred.
Certifications in relevant technologies (e.g., Microsoft Certified: Azure Data Engineer
Associate) is a plus.
Prior experience working on data strategy in the Wealth Management industry will be
a big plus.
Must Have:
Demonstrable data modeling experience with Kimball and DataVault architectures.
Demonstrable data transformation experience.
Demonstrable data quality experience.