Save Job Back to Search Job Description Summary Similar JobsJoin a growing global teamEnjoy market-aligned salaries & benefitsAbout Our ClientThe company is a multinational bank operating in global markets, offering diverse financial services to their customers and partners.Job DescriptionDesign, develop, and optimize complex data pipelines to facilitate seamless data integration from multiple sources into our data warehouse.Collaborate with data analysts, data scientists, and other stakeholders to understand data requirements and deliver actionable insights.Implement and maintain data warehousing solutions, ensuring high performance, availability, and reliability of data.Utilize advanced data modeling and schema design techniques to enhance data quality and accessibility.Troubleshoot and resolve data-related issues, optimizing ETL processes for efficiency and reliability.Ensure compliance with industry regulations and data governance frameworks.Mentor and guide junior data engineers, fostering a culture of continuous improvement and knowledge sharing.Stay updated with the latest technologies and best practices in data engineering and software development.The Successful ApplicantMinimum of 5 years of technical experience in data pipelining and data warehousing. Background in banking, financial services, and shared services is preferred.Strong understanding of software engineering principles and best practices.Proficiency in programming languages such as Python, Java, or Scala for data processing and ETL development.Extensive experience with SQL, including PL/SQL, for data manipulation and querying.Familiarity with IBM DataStage or similar ETL tools is highly desirable.Experience with cloud-based data platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Hadoop, Spark) is a plus.Strong analytical and problem-solving skills with an attention to detail.Excellent communication skills and the ability to work effectively in a collaborative team environment.Amenable to work in a mid-shiftAmenable to work in MakatiAmenable to a hybrid work setupWhat's on OfferCompetitive pay & benefitsHealthcare (HMO, Insurance)Performance bonus/Performance incentivesLeave incentives & Time OffTraining & developmentContactGio DumatolQuote job refJN-092024-6543522Phone number+63 02 7795 2825Job summaryFunctionITSub SectorIT Data AnalysisWhat is your area of specialisation?Technology & TelecomsLocationMakatiJob TypePermanentConsultant nameGio DumatolConsultant contact+63 02 7795 2825Job ReferenceJN-092024-6543522Work from HomeWork from Home or Hybrid