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Lead a team building and scaling enterprise data platforms that power Citi’s AI, machine learning, and analytics, designing high-performance pipelines and feature stores for real-time and batch processing.
Build and maintain Dremio’s core platform services—telemetry, messaging, caching, and access control—using Java, Kubernetes, and Terraform to power scalable, self-service analytics and AI for global enterprises.
Design and lead the modernization of a multi-cloud enterprise data ingestion framework, building scalable pipelines and governance controls across GCP, AWS, and Azure.
Design and build scalable cloud-native data pipelines and platforms (batch/streaming) using Python, Spark, Kafka, and cloud data warehouses to power analytics and ML across global telco markets.
Lead engineering for JPMorgan’s Global KYC and Risk Assessment Data Platform, designing secure, scalable systems and agentic AI workflows in Python/PySpark on cloud platforms.
Lead a team building a secure, scalable KYC and risk-assessment data platform in Python/PySpark, defining architecture and engineering standards for JPMorgan Chase’s Corporate Sector.
Lead a team of 8–15 engineers to design, build, and optimize cloud-based data pipelines and lakehouse architectures using Python, PySpark, Databricks, and cloud platforms like Azure/AWS/GCP.
Builds and maintains cloud-native, distributed data platform services for Cisco’s enterprise-scale metadata management and discovery, using Go/Java/Python and technologies like Apache Spark and Iceberg.
Lead a team building scalable data pipelines and platforms for JPMorgan Chase’s payments technology, using Spark, Kafka, Flink, and Databricks to enable real-time analytics and governance.
KPMG Global Services KPMG Global Services (KGS) was set up in India in 2008. It is a strategic global delivery organization, which works with more than 50 KPMG member firms to provide a progressive, scalable and…
Lead a team to build and maintain scalable data pipelines on Databricks and AWS, ensuring reliable ingestion, transformation, and delivery of high-quality data for analytics using Delta Lake, Unity Catalog, and AWS services.
Builds and optimizes distributed, real-time data services for a programmatic ad platform using Go, Kafka, and cloud databases like Redshift and Snowflake.
Design and build the enterprise AI platform’s core architecture, reusable patterns, and agentic AI systems for New York Life’s insurance and financial services.
Build and maintain AWS cloud services and big-data pipelines to process large geospatial datasets for a government mission-support program.
Build and maintain AWS cloud-native backend services and big-data pipelines to process large-scale geospatial datasets using Java, Docker, Kubernetes, and spatial databases.
Data Engineer Snowflake - Qatar Location: Middle East - Doha Department: Data & Analytics Please note we are looking to speak to individuals already based in the Doha as a first priority. Capco, a Wipro company, is…
Senior Analytics Engineer designs scalable data models and ELT pipelines on cloud platforms (Snowflake, Databricks) using dbt, SQL, and Python to power AI-driven analytics for Fortune 500 clients.
Leads DevOps and AI infrastructure for monday.com’s BigBrain team, designing scalable Kubernetes/AWS pipelines, AI gateways, and AIOps agents to handle billions of daily events while mentoring engineers and ensuring security and reliability across global regions.
Czym będziesz się zajmować? Responsibilities: Support end to end QDCC data products, including pipelines, analytics and reporting. Analyze quality, process and product data to detect anomalies proactively. Develop…
Senior role building scalable cloud data pipelines and warehouses on AWS to power analytics and BI for a global convenience-retail tech company.
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