Data Engineer designing and building data pipelines at LexisNexis. Collaborating with partners for high - quality analytics and AI - ready data.
About the role
- Senior Azure Data Engineer with expertise in Databricks and Azure data services for scalable solutions. Responsibilities include designing, building and maintaining data solutions for business needs.
Responsibilities
- We are looking for a highly skilled Databricks & Azure Senior Data Engineer with at least 6 to 10 years of experience.
- The ideal candidate should have a strong background in Azure data services, including Databricks, Synapse Analytics, Microsoft Fabric, PySpark and SQL.
- He/She will be responsible for designing, building, and maintaining scalable data solutions that meet business requirements and align with industry best practices.
Requirements
- 6+ years of experience as a Databricks & Data Engineer, building Azure-based data solutions using Data Factory, Synapse, Databricks.
- Expertise in Python, SQL (SparkSQL, TSQL, PLSQL), Dimensional Data Modeling, Data Warehousing, and ETL/ELT processes.
- Develop and optimize large-scale data pipelines using Databricks, Synapse, and Apache Spark.
- Integrate data into Azure Data Lake Storage via Data Factory and Data Flows.
- Architect Delta Lake & Lakehouse solutions for scalable analytics.
- Optimize performance across Databricks, and Synapse environments.
Job title
Job type
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Not specified
Degree requirement
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