Job Requisition: Senior Data Engineer

Key Responsibilities

- Design and Development:

o Architect, implement, and optimize scalable data solutions.

o Develop and maintain data pipelines, ETL/ELT processes, and workflows to ensure the seamless integration and transformation of data.

- Collaboration:

o Work closely with data scientists, analysts, and business stakeholders to understand requirements and deliver actionable insights.

o Partner with cloud architects and DevOps teams to ensure robust,

secure, and cost-effective data platform deployments.

- Data Management:

o Manage and maintain data lakes, data warehouses, and real-time analytics systems.

o Ensure high data quality, integrity, and security across the organization.

- Performance Optimization:

o Monitor and enhance system performance, troubleshoot issues, and implement optimizations as needed.

o Leverage Microsoft Fabric’s advanced analytics and AI capabilities for innovative data solutions.

- Best Practices & Leadership:

o Lead and mentor junior engineers to foster a culture of technical excellence.





o Stay updated with industry trends and best practices, especially in the

Microsoft ecosystem.

Qualifications Required:

- Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
- 5+ years of experience in data engineering, with a proven track record of working on large-scale data platforms.
- Expertise in Microsoft Fabric and its components (e.g., Synapse, Data Factory,

Azure Data Lake, Power BI).

- Robust proficiency in SQL, Python, and Spark.
- Experience with cloud platforms, particularly Microsoft Azure.
- Solid understanding of data modeling, data warehousing, and ETL/ELT best practices.
- Excellent problem-solving, communication, and project management skills.

Preferred

- Familiarity with other cloud platforms (e.g., AWS, GCP).
- Experience with machine learning pipelines or integrating AI into data workflows.
- Certifications in Microsoft Azure or related technologies.

📌 Senior Data Engineer (Lead + Team) (Bengaluru)
🏢 Tuitions Tree
📍 Bengaluru