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Job Title: Senior Cloud Data Warehouse Engineer Location: Montreal, QC (Hybrid – 3 days onsite every week) Employment: Full-time opportunity Experience: 5+ years About VLink: Started in 2006 and headquartered in…
Team Overview: The Controls Engineering, Measurement and Analytics (CEMA) department is responsible for Cyber Risk and Control assessment, management, monitoring, and reporting capabilities across Technology, resulting…
Role: Data QE / Functional QE Experience Required: 6–8 Years Primary Skills: Big Data & Hadoop Ecosystem, .NET Technologies, Agile Way of Working, Functional Testing Role Overview We are seeking a versatile Quality…
Lead the design and build of scalable data pipelines and platforms using Python, PySpark, Hadoop, Databricks, and cloud tools to power analytics, AI/ML, and business intelligence for enterprise clients.
Build and deploy AI/ML models and analytics pipelines in Azure to drive data-driven decisions for a retail bank, using Python, PySpark, and Power BI.
Build and deploy AI/ML models and analytics pipelines to drive data-driven decisions in banking, using Python, PySpark, Azure, and Power BI.
Builds and maintains data pipelines and backend systems for IFRS17 compliance in insurance, using Python, PySpark, SQL, and cloud platforms.
Builds and optimizes ETL pipelines using Python (PySpark) and Azure Synapse to transform/load data, designs scalable data storage, and partners with teams to meet analytics needs.
Develops and maintains ML models (tabular and NLP) to detect phone spam and fraud, focusing on feature engineering, pipeline optimization, and collaboration with business stakeholders to improve detection accuracy and latency in production.
Build and refine LLM models for fintech clients, using prompt engineering, OCR, NLP, and multimodal approaches to power industrial systems.
InfoCepts is a global leader of end-to-end data & analytics solutions with nearly 20 years of experience, also named as Gartner's 2020, 2021 and 2022 customers' choice for Data & Analytics providers. We…
Key Responsibilities Analyse the Authority's data needs and document the requirements. Refine data collection/consumption by migrating data collection to more efficient channels. Plan, design and implement data…
Job Summary We are looking for an experienced Data BAU Lead - Data Engineering to lead data operations, production support, and continuous improvement initiatives within a cloud-first data environment. The ideal…
Company: 1011 United Overseas Bank Ltd About UOB United Overseas Bank Limited (UOB) is a leading bank in Asia with a global network of more than 500 branches and offices in 19 countries and territories in Asia Pacific,…
. Strong hands-on experience with PySpark and Python for data engineering. . Experience developing ETL pipelines using AWS Glue . . Proficiency with AWS Step Functions for workflow orchestration. . Experience building…
We are seeking a Databricks Data Engineer to design, develop, and optimize modern data platforms using Databricks and cloud technologies. The successful candidate will have strong expertise in building scalable data…
Build and scale ML pipelines and recommendation models in Python/PyTorch to personalize user experiences across Sber’s ecosystem of financial, retail, media and healthcare services.
Job Title: Senior Data Engineer – Databricks (Financial Services Sector) Location: Tanjong Pagar, Singapore Salary: Up to SGD$10,500+ per month Job Type: Contract (12 months renewable) About the Opportunity: We are…
About the Company We are seeking highly skilled Data Engineers with strong expertise in Python, Hadoop, AI, and Big Data technologies to join a leading banking client's enterprise Data & AI transformation…
Responsibilities . Responsible for designing, developing, and maintaining data solutions for data generation, collection, and processing. . Creating data pipelines, ensuring data quality, and implementing ETL processes…
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