Company Description FaceTree Training and IT Solution is a technology-focused organization that provides IT services, consulting, and training to help clients modernize their data and software capabilities. The company works with a variety of industries, offering solutions that support digital transformation, data-driven decision making, and scalable system design. FaceTree emphasizes practical, hands-on expertise and continuous learning, creating an environment where professionals can grow their technical skills.

Team members collaborate remotely using modern tools and processes to deliver reliable, high-quality solutions for clients.

Role Description The Sr. Data Engineer will design, build, and maintain scalable data pipelines and architectures that support analytics, reporting, and application needs across client projects. In this part-time remote role, the person in this position will work closely with data analysts, data scientists, and software engineers to integrate data from multiple sources, optimize database and data warehouse performance, and ensure data quality and reliability.

Typical day-to-day tasks include modeling and transforming data, implementing ETL/ELT processes, troubleshooting data issues, and improving existing data workflows. The Sr. Data Engineer will also contribute to technical design discussions, document solutions,



and follow best practices in security, performance, and maintainability.

Qualifications

- Strong experience with data engineering fundamentals, including data modeling, ETL/ELT development, and building scalable data pipelines.
- Proficiency with modern databases and data warehousing technologies (e.g., SQL-based databases, cloud data warehouses such as Snowflake, Redshift, or BigQuery).
- Hands-on programming skills in languages commonly used for data engineering (such as Python, SQL, or Scala) and familiarity with version control tools.
- Experience with cloud platforms and data services (for example, AWS, Azure, or Google Cloud) and an understanding of distributed data processing frameworks.
- Ability to work collaboratively in a remote environment, communicate clearly with technical and non-technical stakeholders, and document technical solutions effectively.
- Background in designing secure, reliable, and performant data solutions, including attention to data governance, privacy, and quality.
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent qualified experience.
- Prior experience in a senior or lead data engineering role and exposure to analytics or BI tools is highly beneficial.

📌 Sr. Data Engineer (India)
🏢 FaceTree Training and IT Solution
📍 India