Senior Data Engineer

8x8 connects our customers and teams globally, empowering CX leaders with performance and insights to make smarter decisions, delight customers, and drive lasting business impact.

As a Data Engineer, you will be responsible for architecting, designing, and implementing robust data solutions to drive analytics and business intelligence initiatives.

Data Pipeline Development

• Design, build, and maintain efficient and reliable ELT/ETL processes to collect, integrate, and prepare data from various sources.
• Develop scalable and high-performance data pipelines that support data ingestion, processing, and retrieval.

Data Architecture Design

• Collaborate with stakeholders and data architects to define and implement data architecture strategies and best practices.
• Evaluate and select appropriate tools and technologies to enhance data processing capabilities, including databases, data lakes, and cloud data platforms.

Data Quality Assurance

• Establish and enforce data quality standards, validation rules, and data governance practices to ensure data integrity and reliability.
• Monitor data pipelines for performance and accuracy, resolving issues as they arise.

Cross-Functional Collaboration

• Work closely with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions that meet their needs.
• Facilitate discussions to gather feedback on data solutions and refine processes accordingly.

Performance Optimization

• Analyze and optimize existing data pipelines and databases for performance, scalability, and cost-effectiveness.
• Develop strategies to improve data processing efficiency, including partitioning, indexing, and query tuning.

Documentation and Best Practices

• Maintain comprehensive documentation of data architectures, data flows, and standard operating procedures.
• Promote best practices in data engineering, including coding standards, version control, and testing methodologies.
• Hands-on experience with Git-based workflows, CI/CD for data pipelines, and PR-based code review practices.

Industry Trends

• Stay current with emerging technologies, trends, and best practices in data engineering and analytics.
• Continuously evaluate and recommend new tools and frameworks to enhance the data engineering capabilities of the organization.

Required

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
• 5+ years of experience in data engineering or related roles, with a focus on building and maintaining data pipelines.
• Proficiency in Python and experience with data processing frameworks.
• Strong knowledge of SQL and experience with relational databases (e.g., PostgreSQL, MySQL) as well as Snowflake.
• Experience with ELT/ETL tools (e.g., Matillion) extract and load patterns preferred; transformation logic managed via dbt.
• Experience with dbt (data build tool) for transformation layer development and data modeling.
• Experience with dimensional data modeling (star/snowflake schemas) and familiarity with semantic layer concepts (e.g., Snowflake Cortex Analyst, dbt metrics).
• Familiarity with data governance, data quality, and data security best practices.
• Excellent problem-solving skills, attention to detail, and a proactive approach.
• Strong communication skills with the ability to collaborate effectively with both technical and non-technical stakeholders.
• Hands-on experience with AI/LLM integration patterns with data platforms (e.g., Claude MCP, Snowflake Cortex Analyst) ability to design and support agentic data workflows.

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