Data Platform Specialist
2 weeks ago
We are seeking an experienced Data Engineer to design and develop scalable data pipelines using modern data stack technologies for Pershing X's Cloud data platform. This is a critical role that requires a strong understanding of data engineering, cloud computing, and data warehousing.
Key Responsibilities:
- Design and develop ETL processes, data applications, and data pipelines for Operational Business Intelligence Mart
- Analyze technical metadata, Data Pipeline logs, and data lineage for data platform, and provide insights to support data platform operational decisions
- Collaborate with cross-functional teams to understand and Elucidate Observability requirements for the data platform considering SLA, operational needs, DQ, and proactive monitoring
- Work with other engineers on the team to elevate technology and consistently apply best practices
Requirements:
- Minimum 5 years of IT experience in data engineering or data management field
- 4-5 years of experience in application development using SQL, PLSQL
- Strong working knowledge and min of 2 years' experience in DBT, Snowflake
- Recent experience as a Senior Data Engineer in any public cloud, preferably on Azure as well as on a cloud warehouse like Snowflake
- 2+ years of experience in building data pipelines using various ETL and ELT tools
- Hands-on experience with Airflow is highly preferred
- Experience in building cloud native solutions, preferably on Azure including the use of DevOps CI/CD tools and containers
- Proven experience as a Data Analyst or in a similar role
Estimated Salary and Benefits:
$120-130K per year, plus comprehensive benefits package
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