Senior Data Engineer

Get AI-powered advice on this job and more exclusive features. Direct message the job poster from PALO IT PALO IT is a global technology consultancy that crafts tech as a force for good. We design, develop and scale digital and sustainable products and services to unlock value across the triple bottom line: people, planet, profit. We do the right thing, and we do it right. We're proud to be a World Economic Forum New Champion, and a B Corp-certified company. We are small enough to care locally, big enough to deliver globally (5 continents, 18 offices, +650 experts from +50 nationalities) We are robust and resilient (100% independent and 0 debt) We are entrepreneurs and passionate experts: We invest in what we believe genuinely and work as a collective intelligence We are positive, courageous, caring, doers and committed to excellence Your role The project involves building and scaling cloud-native data pipelines to handle ingestion, transformation, quality assurance, enrichment, and advanced analytics use cases across multiple industries. We are seeking a Senior Data Engineer to modernize and enhance data platforms, with strong expertise in AWS and GCP. Design and implement scalable ETL/ELT pipelines on AWS and GCP. Migrate existing on-premises and hybrid workloads into cloud-native services. Build reusable data frameworks for ingestion, quality monitoring, and transformations. Implement robust error handling, recovery mechanisms, and observability into pipelines. Partner with Data Scientists and Architects to enable predictive/GenAI use cases. MUST HAVE EXPERIENCE 7+ years in data engineering with end-to-end pipeline design and implementation. AWS expertise: S3, Glue, Lambda, Step Functions, EMR, Athena, Fargate, AWS Batch. GCP expertise: BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Functions. Strong Python and SQL development skills. Proficiency with orchestration tools like Airflow or Cloud Composer. Shell scripting (Linux). Familiarity with data formats (Parquet, ORC, JSON, Avro) and modern storage patterns. GOOD TO HAVE Experience integrating AWS ↔ GCP cross-cloud pipelines. Knowledge of containerization (Docker, Kubernetes, GKE/EKS). Domain knowledge in Financial Services, Healthcare, Maritime, or Retail. We will be prioritizing applicants who have a current right to work in Singapore, and do not require sponsorship of a visa. More about PALO IT We’re eager to adapt to change, learn from our experiences and move to meet our planet’s urgent needs. We are continuously taking action to: Attain 50% of revenue from projects with a positive impact Train 100% of our workforce on impact Achieve B Corp certification among all our offices across the globe Continuously measure & improve employee happiness Our clients are amongst the world's most successful companies. We innovate with both established Fortune 1000s, SMEs and start-ups who aim to make an impact, become global leaders and address the world's most complex challenges. What We Offer Stimulating working environments Unique career path International mobility Internal R&D projects Knowledge sharing Personalized training For more on our team culture and benefits, check out our careers page. PALO IT Singapore is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Palo IT SG does not discriminate in employment opportunities or practices on the basis of race, colour, religion, sex, sexuality, national origin, age, disability, marital status or any other characteristics protected by law. Protecting your privacy and the security of your data are longstanding top priorities for Palo-IT. Your personal data will be processed for the purposes of managing Palo-IT’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring processes. Please consult our Privacy Notice to know more about how we collect, use, and transfer the personal data of our candidates. Here you can find how you can request for access, correction and/or withdrawal of your Personal Data. Seniority level: Mid-Senior level Employment type: Full-time Job function: Information Technology and Consulting Industries: IT Services and IT Consulting Referrals increase your chances of interviewing at PALO IT by 2x Get notified about new Data Engineer jobs in Singapore, Singapore. We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr