Senior Data Analytics Engineer to design and deliver high-quality data products that enable network and engineering teams to make informed decisions, combining telecom data expertise with technical acumen and problem-solving skills.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, Telecommunications, or a related field (or equivalent experience)
- Minimum of seven (7) years of experience in analytics engineering, data engineering, or BI roles — preferably supporting telecom or network operations
- Strong proficiency in SQL, Snowflake, dbt, and Python for data transformation and automation
- Hands-on experience with Azure Data Factory and Microsoft Fabric for pipeline orchestration and data lakehouse management
- Advanced experience building and optimizing Power BI, Sigma and/or Tableau dashboards
- Deep understanding of telecom data domains, including network inventory and topology systems, fault, performance, and capacity management data, provisioning, activation, and service assurance systems
Benefits
- Excellent Health, Dental & Vision Insurance
- Retirement 401(k) Savings Plan
- Generous paid time off policy including paid parental leave
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