Save Job Back to Search Job Description Summary Similar JobsOffers hands-on experience in market research and analytics.A collaborative culture that supports fast growth.About Our ClientThis opportunity is with a large organization in the Fintech industry. The company is known for its innovative solutions and commitment to leveraging data-driven insights to stay ahead in the market.Job DescriptionDesign and build data pipelines and ETL processesDevelop and maintain data storage solutionsEnsure data quality, integrity, and accessibilityCollaborate with data scientists to prepare datasets for AI modelsOptimize data workflows for performance and scalabilityImplement data validation and cleansing processesDocument data engineering processes and standardsThe Successful ApplicantA successful Data Engineer should have:5-7 years of experience in data engineering and ETL processesProficiency in programming languages such as Python, SQL, or similar.Proficiency with SQL, Python, and big data technologies (e.g., Hadoop, Spark)A solid understanding of database systems and data modeling.Bachelor's degree in Computer Science, Engineering, or related field.An analytical mindset with a focus on problem-solving and innovation.What's on OfferOpportunities to work on cutting-edge data projects in the Fintech industry.Permanent employment with a large organization.Collaborative and supportive work environment.Potential for professional growth and learning development programs.This role offers a rewarding career in data engineering. If you are ready to make a significant impact apply now!ContactVicente ApayQuote job refJN-012026-6925354Phone number+63 02 7795 2832Job summaryFunctionITSub SectorIT Data AnalysisWhat is your area of specialisation?Financial ServicesLocationMandaluyongJob TypePermanentConsultant nameVicente ApayConsultant contact+63 02 7795 2832Job ReferenceJN-012026-6925354Work from HomeWork from Home or Hybrid