717 - Ssr/sr Data Engineer

**Data Engineer**:
**What Youll Bring to The Team**:
We are seeking an experienced Data Engineer to design and maintain data pipelines that power analytics and advanced reporting on our clients Enterprise Data Platform. As a member of the R&D organization, you will manage critical business data assets, leveraging cloud-based big data tools to enable data-driven decisions. You will bring a strong focus on data quality and collaborate with security and compliance experts, understanding the unique data sovereignty requirements of a global customer base.

**Responsibilities**:

- Craft and build reusable components, frameworks, and libraries at scale to support analytics products.
- Recommend tools and techniques for efficient data movement, transformation, and storage to facilitate a high-performance data warehouse environment.
- Build and deploy scalable data pipelines to power analytics and reporting across multiple source systems.
- Deliver data platform infrastructure as code, managing deployment and configuration requirements as well as internal release documentation.
- Identify and address data management issues to improve data quality.
- Contribute to our culture, propose innovative solutions to industry challenges, provide constructive feedback, and help create a company that drives meaningful change.
- Implement redundant systems, policies, and procedures for disaster recovery and data archiving to ensure data availability, protection, and integrity.
- Plan for capacity and resource expansion to support data warehouse scalability.
- Collaborate with cross-functional teams to define and deliver reports based on business requirements.
- Participate in data warehouse improvement and growth projects.
- Monitor system performance, optimize stored procedures, and improve query execution efficiency.
- Ensure data security and privacy best practices are applied appropriately.
- Troubleshoot data issues and perform root cause analysis to proactively resolve operational challenges.
- Create, update, and maintain system documentation.
- Bachelors or Masters degree in Computer Science, Data Science, Information Science, or related field, or equivalent work experience.
- 2+ years of experience with SQL on multiple database platforms.
- 1+ years of experience working with cloud-based enterprise analytics platforms and/or data warehouse projects (Snowflake preferred).
- Strong programming background in data science-focused languages such as Python, Scala, or R.
- Solid understanding of both relational and NoSQL database modeling and schema design principles.
- Experience working with large datasets and developing high-performance queries.
- Hands-on experience with large-scale data migrations.
- Strong knowledge of data security best practices.
- Proficiency with Git and commitment to documentation best practices.
- Ability to thrive in a hybrid work environment.
- Positive and action-oriented mindset.
- Strong interpersonal and communication skills, with the ability to ask the right questions.
- Self-motivated and self-managing, with excellent task organization skills.
- Ability to clearly and concisely communicate technical requirements and recommendations.
- Proficiency in SQL & NoSQL databases (Snowflake, MongoDB), particularly in development or reporting.
- Strong understanding of relational data structures, theories, and principles.
- Experience mentoring and training other developers and engineers on data engineering best practices.
- Strong knowledge of applicable data privacy regulations and best practices.
- Strong SQL and schema comprehension skills, including many-to-many relationships.
- Deep understanding of data structures and their implementation.

**Bonus Points If You Have**:

- Experience with Snowflake, DBT, Fivetran, and Tableau.
- Prior exposure to distributed data frameworks.
- Experience with Microservices and/or Service-Oriented Architecture.
- Experience with database management and data operations.

**How to Apply**:
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