Senior Data Engineer

🕒 June 3

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8x8

1001 - 5000 employees

Founded 1996

☁ SaaS

📡 Telecommunications

🏱 Enterprise

💰 $121.9M Post-IPO Equity on 2022-01

SaaS ‱ Telecommunications ‱ Enterprise

8x8 is a comprehensive platform and partner designed to enhance customer experience (CX) by unifying business communications and interaction data. Trusted by over 3 million business users, 8x8 provides solutions such as contact centers, unified communications, and no-code APIs to address complex communication challenges. By integrating artificial intelligence into their platform, 8x8 helps businesses connect teams and customers, gain insights, and drive impactful results. The platform aims to modernize operations, mitigate risks, and build customer loyalty, offering a seamless and efficient experience for enterprises.

📋 Description

‱ Build and Maintain Data Pipelines ‱ Design and develop reliable, scalable, and secure ETL/ELT pipelines using Matillion(or similar platform), Python, and dbt ‱ Optimize Data Infrastructure ‱ Work on performance tuning of SQL queries, table structures, and warehouse configurations ‱ Collaborate Cross-functionally ‱ Work closely with data analysts, data scientists, product managers, and engineering teams ‱ Data Modeling ‱ Design and maintain scalable dimensional and normalized data models within Snowflake ‱ Implement and Enforce Data Quality Standards ‱ Build data quality checks, logging, monitoring, and alerting systems ‱ Documentation and Best Practices ‱ Maintain comprehensive documentation of systems, processes, and code

🎯 Requirements

‱ 5+ years of experience in data engineering or a similar role ‱ Strong proficiency in Python for data processing and scripting ‱ Hands-on experience with Snowflake(or similar platform), including SQL optimization, schema design, and performance tuning ‱ Proficient in dbt (data build tool) for data transformations and model management ‱ Experience with Airflow (or similar workflow orchestration tools like Prefect or Luigi) ‱ Solid understanding of ELT/ETL principles, data warehousing concepts, and data modeling ‱ Experience with CI/CD tools and version control (e.g., Git) ‱ Familiarity with cloud platforms (AWS, GCP, or Azure)

đŸ–ïž Benefits

‱ Health insurance ‱ Retirement plans ‱ Paid time off ‱ Flexible work arrangements ‱ Professional development

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