Are you a skilled data engineer ready to tackle complex challenges and build cutting-edge data solutions?
Join our team as a Senior Data Engineer, where you will leverage your expertise in Snowflake, data pipelines, and analytics to enable data-driven decision-making across our organization.
This position offers the opportunity to work on diverse projects involving advanced data platforms, robust analytics, and scalable engineering solutions.
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Snowflake Expertise:
- Design, develop, and optimize data solutions using Snowflake.
- Leverage advanced SQL features and Snowflake scripting to ensure high performance and scalability.
- Collaborate with teams to integrate Snowflake with other tools and platforms.
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Data Pipeline Development:
- Create, maintain, and optimize data pipelines using SQL, dbt, and other tools.
- Build scalable ETL/ELT workflows and automate data processes.
- Assemble and transform large, complex datasets to meet business needs.
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Analytics and Insights:
- Model data transformations to deliver actionable insights and support business intelligence.
- Implement data validation frameworks to ensure data quality and reliability.
- Develop analytics tools to optimize operational efficiency and performance metrics.
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Collaboration and Stakeholder Engagement:
- Work with cross-functional teams to define requirements and deliver data solutions.
- Provide technical support for data infrastructure and analytics tools.
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Technical Skills:
- Advanced knowledge of Snowflake and SQL.
- Proficiency in dbt and data modeling concepts.
- Strong Python skills, including scripting for automation and analytics.
- Familiarity with cloud platforms such as AWS (Redshift, Lambda, S3) or similar (GCP, Azure).
- Experience with DevOps/DataOps tools (Git, Docker, Terraform, CI/CD pipelines).
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Best Practices and Methodologies:
- Strong understanding of data warehousing and distributed data systems.
- Knowledge of data serialization formats (e.g., JSON, XML, YAML).
- Experience with data governance, data quality, and workflow management.
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Soft Skills:
- Analytical and problem-solving mindset.
- Excellent communication and collaboration skills.
- A proactive and ownership-oriented approach to work.
- Opportunity to work on high-impact, large-scale data projects.
- Collaboration with talented professionals in an innovative and dynamic environment.
- Continuous learning and professional development opportunities.
- Competitive salary and comprehensive benefits package.