Senior Data Engineer

Job Title: Senior Data Engineer

Experience Required: Minimum 8 years

Overview:
We are seeking a seasoned Senior Data Engineer to design, build, and maintain robust data pipelines and architectures. The ideal candidate will have extensive experience in data engineering and a proven track record of working with modern data solutions. Experience with Microsoft Fabric is essential, as it will play a key role in our data strategy and operations.

Key Responsibilities:

• Data Pipeline Development:
• Design, develop, and maintain scalable and efficient data pipelines.
• Implement robust ETL processes to integrate data from diverse sources.
• Architecture & Integration:
• Collaborate with cross-functional teams to architect data solutions that align with business objectives.
• Leverage Microsoft Fabric to build integrated data platforms and ensure seamless data flow.
• Data Modeling & Warehousing:
• Develop data models and design data storage solutions.
• Optimize data warehousing solutions to support analytics and reporting.
• Performance & Quality:
• Monitor, troubleshoot, and optimize data systems for performance, reliability, and quality.
• Implement data governance and security best practices.
• Innovation & Continuous Improvement:
• Evaluate emerging technologies and tools to enhance the data engineering ecosystem.
• Mentor junior team members and promote best practices across the team.

Required Qualifications:

• Professional Experience:
• Minimum of 8 years of experience in data engineering, data architecture, or a related field.
• Must have SME (Subject Matter Expert) Knowledgebase of Microsoft Fabric Ecosystem
• Technical Skills:
• Proficiency in SQL, data modeling, and database design.
• Expertise in ETL tools, data integration, and pipeline orchestration.
• Expertise with Data Governance Tools, Microsoft Perview
• Hands-on experience with Power BI semantic modeling and Direct Lake architecture.
• Programming skills in languages such as Python/Spark.
• Familiarity with Microsoft Azure and it’s data services.
• Experience with modern data warehousing and big data technologies.
• Soft Skills:
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities.
• Ability to work in a fast-paced, agile environment and manage multiple priorities.

Preferred Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Relevant certifications in data engineering or cloud platforms (e.g., Microsoft Certified: Azure Data Engineer Associate).
• Proven track record in leading data initiatives and mentoring teams.