We use technical cookies and visit statistics: Yandex Metrica and Zorky's own de-identified visit log (cookie zk_aid). We never collect form contents, search text or full IP addresses, and never sell data. Opt out with the button below, or with Global Privacy Control or Do Not Track in your browser. More about cookies and statistics.
Zorky CRMZorky CRM
EN|RU
@termdocs
← All jobs

Senior Data Engineer -Azure / Databricks Platform (Corporate Banking)

senior6,000 SGD · period not specifiedSingapore, SGScore 72.5/100today
Market insights
📊 Data Engineering: salaries and demand on the market
Stack
Validation ScriptsData MappingDesignIntegration ManagementData Quality StandardsAzure Data ExplorerAzure Data FactoryAzure Data LakeTransformationData EngineeringSystems Development Life Cycle (SDLC)Performance Tuning
Show company and link
Free. Sign in with email.
Apply
Upload your CV — we will connect you with the employer directly through our pool.
Send your CV →
Description
Avensys is a reputed global IT professional services company headquartered in Singapore. Our service spectrum includes enterprise solution consulting, business intelligence, business process automation and managed services. Given our decade of success, we have evolved to become one of the top trusted providers in Singapore and service a client base across banking and financial services, insurance, information technology, healthcare, retail and supply chain. We are looking for a Senior Data SME to support a data engineering initiative built on Azure and Databricks within a Corporate Banking context. The ideal candidate brings deep, hands-on technical experience in data mapping and the Databricks platform, strong SDLC and data warehouse fundamentals, and is comfortable owning data solutions end-to-end on a live banking data platform. Trade, Lending, or Payments domain exposure is a strong plus Requirements : At least 10 years of experience in the data space, with exposure to Corporate Banking. Technically strong in data mapping (source-to-target) and the Databricks platform — pipeline development, job/cluster management, and performance tuning. Strong experience across SDLC phases: requirements, design, build, test, and deployment. Strong understanding of data warehouse concepts (e.g., dimensional modeling, ETL/ELT). Strong working knowledge of Azure and Databricks. Strong hands-on SQL and Python skills. Working knowledge of integration methods: file transfer protocols (FTP/SFT
Full description, company and the link to apply — after you sign in. Sign in
Employer contacts (email/phone/telegram) are hidden from the public preview — send your CV, and we will connect you directly.
Urgent question? Message @termdocs