
1001 - 5000 employees
Founded 1996
âïž SaaS
đĄ Telecommunications
đą Enterprise
đ° $121.9M Post-IPO Equity on 2022-01
SaaS âą Telecommunications âą 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.
đ June 3
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1001 - 5000 employees
Founded 1996
âïž SaaS
đĄ Telecommunications
đą Enterprise
đ° $121.9M Post-IPO Equity on 2022-01
SaaS âą Telecommunications âą 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.
âą Build and Maintain Data Pipelines âą Design and develop reliable, scalable, and secure ETL/ELT pipelines using Matillion(or similar platform), Python, and dbt âą Optimize Data Infrastructure âą Work on performance tuning of SQL queries, table structures, and warehouse configurations âą Collaborate Cross-functionally âą Work closely with data analysts, data scientists, product managers, and engineering teams âą Data Modeling âą Design and maintain scalable dimensional and normalized data models within Snowflake âą Implement and Enforce Data Quality Standards âą Build data quality checks, logging, monitoring, and alerting systems âą Documentation and Best Practices âą Maintain comprehensive documentation of systems, processes, and code
âą 5+ years of experience in data engineering or a similar role âą Strong proficiency in Python for data processing and scripting âą Hands-on experience with Snowflake(or similar platform), including SQL optimization, schema design, and performance tuning âą Proficient in dbt (data build tool) for data transformations and model management âą Experience with Airflow (or similar workflow orchestration tools like Prefect or Luigi) âą Solid understanding of ELT/ETL principles, data warehousing concepts, and data modeling âą Experience with CI/CD tools and version control (e.g., Git) âą Familiarity with cloud platforms (AWS, GCP, or Azure)
âą Health insurance âą Retirement plans âą Paid time off âą Flexible work arrangements âą Professional development
Apply Nowđ May 28
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Airflow
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Airflow
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Airflow
đ April 9
Senior Data Engineer designing, implementing, and managing cloud-based data platforms for global brands. Collaborating with technical teams to optimize data processes and ensure high-quality data services.
Azure
Cloud
ETL
Hadoop
Spark
SQL
đ March 31
501 - 1000
Middle Data Engineer specializing in Azure Databricks for the Miratech data platform team. Responsible for designing and developing modern data pipelines and Lakehouse architectures.
đ·đŽ Romania â Remote
đ° Private Equity Round on 2022-04
â° Full Time
đĄ Mid-level
đ Senior
đ° Data Engineer
Azure
Cloud
ETL
PySpark
Spark
SQL
SSIS