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.

Ideal Candidate Profile:

• 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.
• Proficiency in building modular applications.
• Experience with Microservices and/or Service-Oriented Architecture.
• Experience with database management and data operations.
  

How to Apply:

Interested candidates are encouraged to submit their resumes and a cover letter outlining their relevant experience and qualifications to talento@darwoft.com

Questions?
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