Role Responsibilities:

Design and implement efficient and scalable data pipelines using MS Fabric
Develop robust data models to support business intelligence and analytical needs
Manage and optimize ETL processes for data extraction, transformation, and loading
Collaborate with cross-functional teams to define and refine data requirements
Ensure data quality, accuracy, and consistency across systems and processes
Apply best practices in data management, storage, and processing
Conduct performance tuning of storage and queries for optimal efficiency
Create and maintain comprehensive documentation for data architecture and flows
Troubleshoot data-related issues and provide timely solutions
Monitor and optimize cloud-based data solutions for scalability and cost-efficiency
Research and evaluate emerging data tools and technologies for potential adoption
Assist in the design and implementation of data governance frameworks and policies
Mentor and provide technical guidance to junior data engineers
Participate in code reviews and ensure adherence to development standards
Stay current with industry trends, tools, and best practices in data engineering

Qualifications:

Minimum 8+ years of experience in data engineering roles
Strong expertise in Microsoft Fabric and related technologies
Proficient in SQL and relational database management systems
Experience in data warehousing, data modeling, and design of scalable systems
Solid hands-on experience with ETL tools and workflows
Working knowledge of cloud platforms such as Azure, AWS, or GCP
Familiarity with Python or similar programming/scripting languages
Strong communication skills, especially in explaining technical concepts to non-technical audiences
Demonstrated experience implementing data quality measures and data governance
Exceptional problem-solving and attention to detail
Ability to work independently in a remote or distributed team environment
Exposure to data visualization tools (e.g., Power BI, Tableau) is a plus
Excellent organizational, time management, and analytical skills
Bachelor's degree in Computer Science, Engineering, or a related field
Experience working within Agile methodologies and project tracking tools

Key Skills:

Microsoft Fabric, SQL, ETL, Data Modeling, Data Warehousing, Azure, AWS, GCP, Python, Data Governance, Data Quality, Cloud Data Engineering, Performance Tuning, Documentation, Agile, Data Architecture, Power BI, Tableau, Code Review, Cross-functional Collaboration

Data Engineer - Microsoft Fabric

Snowflake Data Engineer (TL)

Lead Data engineer

Deputy Manager Data Engineer - Analytics