Sr Data Engineer

Must Have Skills:
• Snowflake
• Azure
• GCP
• Python
Nice to Have Skills:
• SQL
• Kafka
• PBI
Detailed Job Description:
Responsibilities
• Interact & Influence business stakeholders to secure strong engagement and ensures that the data & analytical product delivery aligns with longer-term strategic roadmaps
• Design & contribute towards the structure and layout of lake house architecture optimizing data storage, and establishing data access controls and security measures
• Implement the long-term Data & Analytics strategy and deliver functional objectives
• Assess requirement feasibility, translates high-level business requirements into data requirements, appropriate metadata, test data, and data quality standards
• Explore Data Sources by working with Application owners to confirm datasets to be extracted
• Contribute to establishing and implementing database structure, including schema design, table definitions, column specifications, and naming conventions
• Design Data models for Source data products, Master data products & Insight data products.
• Document Data Architecture artifacts for different Data Products and solutions and perform peer review across various functions.
• Support Data Engineering and BI Engineering teams during the build phase
Review Data models development, validate and provide deployment approval
• Work closely with data stewards and governance functions to continuously improve data quality and enhance the reliability of data model(s).
• Simplify the existing data architecture, delivering reusable services and cost-saving opportunities in line with the policies and standards of the company
• Leads and participates in the peer review and quality assurance of project architectural artifacts across the Data Architecture group through governance forums
• Collaborate and contribute to the development and enhancement of standards, guidelines, and best practices within Data Architecture discipline.
• Works with Product owners, Business stewards, Data Scientists and end users to understand data consumers' needs and develop data products/ data solutions
• Evaluates and recommends emerging technologies for data management, storage, and analytics
Minimum Years of Experience:
10+ years