Job Title: Data Engineer - SaaS Applications
Overview
We are seeking a skilled Data Engineer to join our team and contribute to the design, implementation, and maintenance of complex enterprise data pipelines for large-scale SaaS applications. This is an excellent opportunity to leverage your technical expertise in data modeling, Python development, and cloud platforms to drive business growth.
Responsibilities
* Design, implement, and maintain robust data pipelines for enterprise SaaS applications.
* Develop and optimize Python codebases for data ingestion, transformation, and modeling.
* Collaborate with cross-functional teams to deliver high-quality data features and support business objectives.
* Ensure data quality, integrity, and security across all data flows, adhering to best practices and regulatory requirements.
Requirements
* Proven experience in building and maintaining the data layer for large-scale enterprise SaaS applications.
* Strong understanding of data modeling concepts, including data warehousing, ETL, and data governance.
* Hands-on experience with at least one cloud platform (AWS, Azure, or GCP) and their native data services.
* Experience with data pipeline development, orchestration, and monitoring tools.
* Familiarity with data quality, governance, and security best practices, including compliance with industry regulations.
Desirable Skills
* Proficiency in programming languages such as Python, Java, or Scala.
* Knowledge of data visualization tools like Tableau, PowerBI, or Databricks.
* Experience with containerization using Docker and Kubernetes.
* Understanding of DevOps principles and practices.
* Ability to work effectively in a fast-paced environment and adapt to changing priorities.