Sr. Data Engineer (India)

Sr. Data Engineer (India)

11 Nov
|
FaceTree Training and IT Solution
|
India

11 Nov

FaceTree Training and IT Solution

India

Company Description FaceTree Training and IT Solution is a technology-focused organization that provides IT services and training programs to help businesses and professionals build modern digital capabilities. The company specializes in data-driven solutions, software development, and technology education designed to support both enterprise clients and individual learners. FaceTree emphasizes practical, real-world projects and industry-relevant tools to ensure clients and participants can apply their skills effectively.

Team members collaborate in a flexible environment that supports continuous learning, innovation, and remote work.

Role Description The Sr. Data Engineer will design, build, and maintain scalable data pipelines and architectures to support analytics, reporting, and product development. In this part-time remote role, the individual will work closely with data analysts, data scientists, and software engineers to integrate data from multiple sources, optimize data models, and improve data quality and reliability.

Responsibilities include implementing ETL/ELT processes, managing cloud-based data platforms, monitoring performance, and ensuring security and compliance with data governance standards. The Sr. Data Engineer will also collaborate on best practices, documentation,



and mentoring less-experienced team members to enhance the overall data engineering capability.

Qualifications

- Strong proficiency in data engineering fundamentals, including data modeling, ETL/ELT processes, and building scalable data pipelines.
- Hands-on experience with relational and NoSQL databases, as well as modern data warehousing or lakehouse platforms (e.g., Snowflake, BigQuery, Redshift, Databricks).
- Advanced programming skills in languages commonly used for data engineering (such as Python, SQL, or Scala) and familiarity with version control tools.
- Experience with cloud services (e.g., AWS, Azure, GCP) and data integration tools or frameworks (such as Airflow, dbt, Kafka, or similar technologies).
- Knowledge of data governance, security, and privacy best practices, including access control, encryption, and compliance with relevant standards.
- Ability to collaborate effectively in a remote, part time environment, with strong communication, documentation, and stakeholder management skills.
- Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field; equivalent practical experience is also valued.
- Previous experience in a senior or lead data engineering role and exposure to mentoring or guiding other technical professionals is beneficial.

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

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