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Lead Data Analytics Engineer
2 weeks ago
:
We are seeking a highly skilled Senior Data Engineer with over 8 years of hands-on experience in Spark, Azure components, and Databricks within the insurance industry.
The ideal candidate will possess a deep understanding of data modelling, proficiency in the modern data stack, familiarity with machine learning, a proactive approach to staying updated on cutting-edge technologies, and a proven track record of collaborating with diverse stakeholders in an agile environment.
Build pipelines to ingest a wide variety of data from multiple sources within the organization and from external sources.Optimize existing pipelinesTesting data structures to ensure that they are fit for use for data analysts and scientists.
Prepare and maintain environments for secure prototyping, development, testing and data manipulation for data scientists.
Design and implement effective data storage solutions and models.
Assist data models and AI/ML deployment.
Assess database implementation procedures to ensure they comply with internal and external regulations.
Prepare accurate database design and architecture reports for management and executive teams.
Oversee the migration of data from legacy systems to new solutions on Cloud infrastructure.
Monitor the system performance by performing regular tests, troubleshooting, and integrating new features.
Automate low value tasksExperience with at least one major Cloud Infrastructure provider (Azure/AWS/GCP)Experience building data pipelines using batch processing with Apache Spark (Spark SQL, DataSet / Dataframe API) or Hive query language (HQL)Knowledge of Big Data ETL processing toolsExperience in Data Modelling, Data mapping for Data Warehouse and Data Marts solutionsExperience with Hive and Hadoop file formats (Avro / Parquet / ORC)Basic knowledge of scripting (shell / bash)Experience of working with multiple data sources including relational databases (SQL Server / Oracle / DB2 / Netezza), NoSQL / document databases, flat filesUnderstanding of CICD tools such as Jenkins, JIRA, Bitbucket, Artifactory, Bamboo and Azure Dev-ops.
DevOps practices using Git version controlAn interest in staying up to date with industry standards and technological advancements that will improve the quality of your outputs.
Ability to debug, fine tune and optimize large scale data processing jobsHighly capable in Python or ScalaSQLDataBricksKnowledge inAzure Data FactoryGoogle Big QueryAzure DevOpsBitBucket or GitHubMachine learningMLFlowKnowledge of life insurance industry preferred.
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