Sr. Software Engineer - Microsoft Fabric

Experience

5-8 Years

Job Description

Seeking a skilled Senior Data Engineer with 5-8 years of experience to join data team. The ideal candidate will have hands-on expertise in Microsoft Fabric and a strong foundation in SQL and ETL processes. This role involves designing, implementing, and maintaining data solutions that drive business intelligence and analytics initiatives.

Experience:

• Microsoft Fabric: 2+ years of hands-on experience with Microsoft Fabric components (Data Factory, Synapse Analytics, Power BI, Data Activator)

• SQL Expertise: Advanced proficiency in SQL with 5+ years of experience

• ETL/ELT: Strong experience with ETL tools and methodologies

• Data Engineering: 5-8 years of overall experience in data engineering roles

• Cloud Platforms: Experience with Azure cloud services and architecture

• Candidate should have good communication and stakeholder handling experience.

Required Technical/ Functional Competencies

Domain/ Industry Knowledge:

• Basic knowledge of customer's business processes- relevant technology platform or product.
• Able to prepare process maps, workflows, business cases and simple business models in line with customer requirements with assistance from SME and apply industry standards/ practices in implementation with guidance from experienced team members.

Requirement Gathering and Analysis:

• Working knowledge of requirement management processes and requirement analysis processes, tools and methodologies.
• Able to analyse the impact of change requested / enhancement / defect fix and identify dependencies or interrelationships among requirements and transition requirements for the engagement.

Product/ Technology Knowledge:

• Working knowledge of technology product/platform standards and specifications.
• Able to implement code or configure/customize products and provide inputs in design and architecture adhering to industry standards/ practices in implementation.
• Analyse various frameworks/tools, review the code and provide feedback on improvement opportunities.

Architecture tools and frameworks:

• Basic knowledge of architecture Industry tools & frameworks
• Able to analyse available tools and frameworks for review by the SME and plan for tool configurations and development.

Architecture concepts and principles:

• Basic knowledge of architectural elements, SDLC, methodologies.
• Able to apply various architectural constructs in the projects and identify various architectural patterns and implement.

Analytics Solution Design:

• High-level awareness of a wide range of core data science/analytics techniques, their advantages, disadvantages, and areas of application.

Tools & Platform Knowledge:

• Familiar with wide range of mainstream commercial and open-source data science/analytics software tools, their constraints, advantages, disadvantages, and areas of application.

Required Behavioral Competencies

Accountability:

• Takes responsibility for and ensures accuracy of own work, as well as the work and deadlines of the team.

Collaboration:

• Participates in team activities and reaches out to others in team to achieve common goals.

Agility:

• Demonstrates a willingness to accept and embrace differing ideas or perceptions which are beneficial to the organization.

Customer Focus:

• Displays awareness of customers stated needs and gives priority to meeting and exceeding customer expectations at or above expected quality within stipulated time.

Communication:

• Targets communications for the appropriate audience, clearly articulating and presenting his/her position or decision.

Drives Results:

• Sets realistic stretch goals for self & others to achieve and exceed defined goals/targets.

Certifications