Specalist, Data Engineer

:\r\nOverall Job Purpose\r\nThe Data Engineer is responsible for designing, building, and maintaining reliable and scalable data pipelines and platforms that support reporting, analytics, and operational decision-making. This role focuses on implementing robust data solutions that integrate data from multiple sources, while ensuring data quality, consistency, and accessibility.\r\n\r\nThe position involves hands-on development of ETL processes, data models, and pipelines, working closely with platform, analytics, and business teams to deliver clean, structured, and timely data.\r\n\r\n \r\nSpecific Job Responsibility\r\n\r\n \tDesign, build, and maintain end to end data pipelines for ingesting, transforming, and delivering data\r\n \tDesign and implement scalable, secure, and high-performance data pipelines (batch and real-time)\r\n \tEnsure seamless integration across IT, OT, and analytics platforms\r\n \tEnsure high availability, reliability, and performance of data platforms\r\n \tCollaborate with cross-functional teams to deliver data solutions aligned to business needs\r\n \tTranslate business requirements into scalable technical solutions\r\n \t\r\nKeep abreast of industry trends and emerging technologies to recommend innovative solutions for business improvement.\r\n\r\n\r\n \r\nJob Specific Competencies\r\n\r\n \tStrong analytical skills and ability to analyse complex data sets and assist drive data-influenced decisions.\r\n \tHigh level proficiency in Python and SQL\r\n \tExperience with cloud-native services and platforms (e.g. Databricks, Snowflake, Synapse,\u00a0 BigQuery)\r\n \t\r\nReport writing\r\n\r\n\r\n \r\nKey Job Attributes\r\n\r\n \tProblem solving skills\r\n \tAbility to lead cross-functional technical initiatives\r\n \tGood communicator with the ability to actively listen\r\n \tCommitment to engineering excellence and continuous improvement\r\n\r\n\r\n\r\n \r\nExperience & Qualifications\r\n\r\n \tMinimum 4\u20137 years of experience in data e