Lead Data Engineer

Skills and Qualifications : < / b>< / p>

• Educational Background< / b>
  • Bachelors or masters degree in computer science Data Engineering or a related field.< / li> < / ul> < / li>
  • Technical Skills< / b>
    • Proficiency in Azure data services (e.g. Azure SQL Database Azure Data Factory Azure Cosmos DB Azure Blob Storage).< / li>
    • Handson experience with PySpark / Python SQL< / li>
    • Strong experience with SSIS< / b>.< / li>
    • Solid understanding of Change Data Capture (CDC)< / b> techniques for incremental data processing.< / li>
    • Familiarity with CI / CD tools such as DevOps.< / li>
    • Familiarity in Data Fabric< / b> technologies and architectures and Azure data lake.< / li>
    • Familiarity in Power BI< / b> for creating dynamic dashboards and reports.< / li>
    • Familiarity with restful API and API integrations.< / li> < / ul> < / li>
    • Data Management : < / b> Strong knowledge of data management data integration and ETL processes.< / li>
    • Leadership Skills : < / b> Proven experience in leading and managing a team of data engineers. Ability to handle multiple tasks and meet deadlines in a dynamic environment.< / li>
    • Analytical Skills : < / b> Excellent analytical and problemsolving skills to transform raw data into actionable insights.< / li>
    • Communication : < / b> Strong communication skills to effectively collaborate with stakeholders and team members.< / li> < / ul>

      Industry Knowledge< / b>< / p>

      • • Familiarity with the reinsurance / insurance domain including risk modeling claims analysis and underwriting processes.< / li> < / ul> < / li> < / ul> < / div>

        Key Skills

        Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala

        Employment Type : Full Time

        Vacancy : 1

        About Company : Saransh Inc