We are looking for energetic, high-performing, and highly skilledData Engineersto join our fast-paced, entrepreneurialProspect Data Hub (PDH)team. As part of the Enterprise Personalization Portfolio, you will help shape our technology roadmap and deliver next-generation global marketing capabilities. In this role, you will focus on designing, developing, and deploying systems for customer-facing and business applications. You’ll be responsible for migrating workloads to the cloud and maintaining large-scale data pipelines.Mandatory Skills & Qualifications To be considered for this role, candidatesmustpossess the following: Experience:6–9 yearsof software development experience with hands-on expertise in application design and automated testing. Education:Bachelor’s degree in Computer science, Engineering, or a related technical discipline. GCP & Big Data Stack :ProficientinBig Queryfor batch/interactive analysis andPySpark/Data Procfor data processing. Core Engineering:Strong programming knowledge inSQL,Python, and hands-on experience withSparkandHive. Systems Knowledge:Experience withUNIX/Shell/Perlscripting and a deep understanding ofdatabase query optimization and indexing . Agile Collaboration:Proven ability to function within anAgileteam, contributing to software builds and driving continuous improvement in code quality.Key Responsibilities Develop and maintain large-scale data processing pipelines. Migrate existing Hadoop/Spark/Hive workloads toGoogle Cloud . Enable deployment, support, and monitoring of software across all environments. Refactor code and drive continuous improvement in structure and quality.Bonus Points For: Experience withWeb services (REST/SOAP)andJava . Knowledge ofMachine Learningor data mining. Familiarity withObject-oriented designandAdobe Marketing Campaignproducts.Location: ChennaiNote to Applicants: We are looking for a specific technical match for this high-energy team.Please apply only if you meet the mandatory skill requirements listed above.
Job Title
Data Engineer (GCP & Big Data)