GCP Data Engineer

𝐉𝐨𝐛 𝐑𝐨𝐥𝐞: 𝐆𝐂𝐏 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 𝐋𝐨𝐜𝐚𝐭𝐢𝐨𝐧: 𝐏𝐡𝐨𝐞𝐧𝐢𝐱, 𝐀𝐙 𝐃𝐮𝐫𝐚𝐭𝐢𝐨𝐧: 𝐋𝐨𝐧𝐠 𝐓𝐞𝐫𝐦 𝐂𝐨𝐧𝐭𝐫𝐚𝐜𝐭 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞: 8+ 𝐘𝐞𝐚𝐫𝐬 𝐕𝐢𝐬𝐚 𝐒𝐭𝐚𝐭𝐮𝐬: 𝐇4 𝐄𝐀𝐃, 𝐆𝐂-𝐄𝐀𝐃, 𝐎𝐏𝐓 𝐉𝐨𝐛 𝐃𝐞𝐬𝐜𝐫𝐢𝐩𝐭𝐢𝐨𝐧: Must Have: Data Engineering - Big data, Scala, Spark, Hive SQL, GCP, Google cloud storage and Big Query, ETL, Data Modeling, 𝐐𝐮𝐚𝐥𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬: • Bachelor’s Degree in Computer Science, Computer Science Engineering, or related field required; advanced degree is preferred. • 8+ years of commercial software development experience. • Proficient in developing, hosting solutions on Google Cloud Platform- Google Cloud Storage and Big Query. • Hands-on experience on Big Data platforms (Scala/Spark/Hive SQL) and Big Data Lake. • Experience and proficiency in ETL (Extract, Transform, Load) processes and tools and data modelling in Big Data platform. • Proficiency in Secure File Transfer (SFT) operations and its utilization in data management. • Experience with Agile development, Continuous Integration, and Continuous Delivery, including working knowledge of various tools in the CI/CD pipeline. • Experience with automated release management using Maven, Salt, Git, Jenkins. • Experience in Architecture design and modeling should possess strong skills in designing and modeling complex systems and architectures. • Good understanding of web technologies (HTTP, Apache) and familiarity with Unix/Linux. • Good understanding of data structures, algorithms, and design patterns. • Great written communication and documentation abilities. • Looks proactively beyond the obvious for continuous improvement opportunities. • Design and develop end-to-end business intelligence solutions using the Power BI stack. • Define and implement robust data models, metrics, and KPIs to support reporting and advanced analytics. • Design, develop, and optimize scalable multidimensional and tabular data models to enable interactive analytics and reporting. • Demonstrate strong proficiency in DAX, Power Query, and SQL, along with expertise in designing intuitive and visually compelling Power BI dashboards and reports to drive data-driven decision-making. • Troubleshoot, debug, and optimize BI solutions (reports, cubes, and semantic models) to ensure high performance, scalability, and reliability. • Develop and maintain BI frameworks, semantic layers, and metadata repositories to support data governance, standardization, and administration.