6 дней назад
BI Engineer (Azure)
70 600 - 149 600$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior BI Engineer (Azure/Data Integration): Designing and developing end-to-end data integration pipelines, enterprise BI data marts, and semantic data layers across Teradata, Hadoop, and Azure analytics platforms with an accent on scalable data architecture and analytics delivery. Focus on building data products, integrating SQL and cloud data services, and supporting multiple enterprise analytics initiatives.
Location: Chicago, Illinois, United States
Base pay: $70,600–$149,600 annually, with eligibility for an annual incentive bonus.
Company
is a purpose-driven healthcare organization providing employee development and a comprehensive benefits package.
What you will do
- Design and develop end-to-end data integration pipelines.
- Deliver enterprise BI data marts and BI semantic data layers.
- Work with data architecture teams to develop and manage a universal semantic model.
- Partner with business stakeholders to design data products that enable insights.
- Manage multiple projects and support analytics and business intelligence initiatives.
- Improve data processes, technology infrastructure, and reporting and analytical services.
Requirements
- Bachelor’s degree with at least 2 years of experience, a master’s degree, or 6 years of equivalent experience with data integration platforms.
- At least 1 year of experience with SQL and data and analytics tools.
- Knowledge of BI architecture, enterprise data integration, and semantic modeling.
- Experience with Hadoop technologies including HDFS, Hive, HQL, Spark, Scala, PySpark, Python, and Sqoop.
- Knowledge of Teradata MPP platforms, Azure Synapse, ADLS, ADF, Azure SQL, DevOps, and continuous integration and deployment.
- Ability to analyze and present data, manage competing priorities, and work independently and collaboratively.
Nice to have
- Healthcare sector experience.
- Strong analytical thinking and problem-solving skills.
- Experience analyzing large datasets from multiple data sources.
Culture & Benefits
- Curated development plans and professional growth opportunities.
- Health and wellness benefits.
- 401(k) savings plan and pension plan.
- Paid time off, paid holidays, and paid parental leave.
- Disability insurance, supplemental life insurance, and an employee assistance program.
- Tuition reimbursement and additional incentives.
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