Data Engineer

jobpost

EIM Associate Data Engineer <ul><li>Microsoft SQL server Exposure</li><li>Azure cloud Exposure will be an added advantage</li><li>Familiar with windows server Management </li><li>Cross-platform experience and the expertise to identify and resolve integration issues</li><li>Ability to co-ordinate with rest of the DEV and QA Teams on releases.</li><li>Around the clock availability for Release related work and Emergency situations.</li><li>PowerShell scripting including RPA knowledge would be added advantage.</li></ul>

EIM Associate Data Engineer

<ul><li>Bachelor's degree in Computer Science, Engineering, or a related field.</li><li> 8+ years of relevant experience in Cloud Data Management, preferably in a lead capacity.</li><li> Expertise in Big Data Technologies: Demonstrated proficiency in Kafka, ElasticSearch, Logstash, and Kibana, ensuring optimal utilization within the data ecosystem.</li><li> Data Engineering and ETL/EDW Design: Extensive experience in Data Engineering methodologies, ETL/EDW design processes, and best practices.</li><li> Data Modeling: Proficiency in data modeling techniques to create efficient and scalable data structures.</li><li> Change Data Capture (CDC) Process: Experience in CDC processes, preferably with knowledge in tools like Debezium or other CDC tools.</li><li> On-Prem to Cloud Migration: Specialized knowledge in facilitating seamless migration of data from on-premises to cloud environments.</li><li> Hortonworks Data Platform/Cloudera Stacks: Experience with Hortonworks Data Platform or Cloudera Distribution stacks for effective data management.</li><li> AWS Development: Proficiency in AWS services such as RDS with Postgres SQL, DynamoDB, Data Pipeline, Database Migration, and AWS Kafka.</li><li> Code Management and CI/CD: Experience in configuring Git/Bitbucket/SVN for code management and a solid understanding of Continuous Integration/Continuous Deployment (CI/CD) practices.</li><li> Source-to-Target Mapping and Data Modeling: Hands-on experience in source-to-target mapping and adherence to data modeling best practices.</li><li> REST API Processes: Knowledge and practical experience in REST API processes, including PUT/GET methods.</li><li> Agile Methodology: Experience working in Agile environments, utilizing SCRUM or Kanban methodologies.</li><li> Domain Experience: Exposure to the Insurance domain is advantageous.</li><li> Client Handling: Experience in managing client interactions is beneficial.</li><li> Additional Skills (Advantageous): Experience in Python and Spark will be considered a plus.</li><li> SQL Proficiency: Hands-on experience in SQL coding, optimization, and fine-tuning for database operations.</li></ul> .