Data Engineer (Platform)

Job Description

Design, build and maintain ETL/ELT data pipeline to process and ingest data from multiple sources. Work with structured and semi/un-structured data. Utilizing your skills in engineering best practices to solve complex data problems. Advising on specific technologies and methodologies for utilising cloud resources to efficiently ingest and process data quickly. Collaborating with teams to ensure that prospective data architecture plans maximize the value of data across the organization. Document all data integration processes , workflows and technical & system specifications. Ensure compliance with data governance policies , industry standards and regulatory requirements. Qualifications More than 3 years of AWS experience 4+ years experience as a Data Engineer or in a similar role Strong problem-solving skills and ability to troubleshoot complex data issues Hands-on experience with Infra as Code (IaC - terraform) Excellent communication and collaboration skills Ability to work in a fast-paced, dynamic environment and manage multiple tasks simultaneously Preferred Qualifications Experience designing and building solutions utilising various Cloud services such as EC2 , S3 , EMR , Kinesis , Glue , Athena , Lambda , Redshift , etc., Design and implement data integration workflows and Ensuring data quality and integrity across systems. Validate and cleanse structured and semi/un-structured data to maintain high data quality. Monitor and optimize the performance of Elasticsearch / Opensearch clusters and Kafka clusters . Experience in at least one primary language (e.g. Scala, Python, Java) and SQL (any variant). Stay update on cloud security best practices and apply them to the organizations environments. Nice to Have : Design and implement Elastic search / Open search clusters to meet the organizations search and analytics requirements. Experience in operating and managing search and analytics engines like Elastic search , Open search , Logstash and Vector. Design, implement and manage Kafka-based data pipelines and messaging solutions to support critical business operations and enable real-time data processing. Experience in distributed event streaming platform and data processing framework. Familiarity with Jenkins, Ansible, Docker, Kubernetes. Experience in operating distributed systems.