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Data Engineer at GMG designing and maintaining scalable ETL pipelines using AWS (Glue, Lambda, Athena, Redshift, S3, SNS) and Databricks with PySpark and SQL, with emphasis on performance tuning, cost optimization, and security governance.
Designs, implements, and maintains data infrastructure on Google Cloud Platform (GCP) using tools like Dataflow, Dataproc, and BigQuery; collaborates with teams to ensure data is collected, stored, processed, and analyzed effectively.
Data Engineer building high-performance Spark-based ETL/ELT pipelines and multi-layer data lake/warehouse solutions on Azure for a heavy analytics project.
AWS Data Engineer building and optimizing scalable data pipelines and cloud data solutions using AWS Glue, S3, Redshift, Lambda, Python, SQL, and PySpark in Chennai.
Lead Data Engineer designing and scaling Chargebee's data platform, building robust ETL/ELT pipelines and distributed systems with Apache Spark, Kafka, SQL, and Python/Java/Scala.
Lead Data Analytics Engineer defining and building the analytics data layer for Papa John's end-to-end analytics stack using GCP (BigQuery, Cloud Composer, Dataflow), Python, and SQL.
Senior Backend Engineer designing and scaling IoT backend systems using Node.js/TypeScript, handling high-throughput data ingestion pipelines, MQTT messaging, and time-series databases for solar/energy infrastructure.
Senior Python backend developer building scalable applications, REST APIs (FastAPI), and data ingestion/ETL pipelines with strong SQL and database optimization skills for an enterprise consulting firm in Bengaluru.
Senior Software Engineer leading architecture and building cloud-native data ingestion, domain services, and customer-facing APIs on AWS for an AI-driven data platform.
The Full Stack AI Engineer will build production-grade web applications, dashboards, and data pipelines while developing agentic AI workflows and implementing search and retrieval services for the Singapore Public Service.
Design and implement Master Data Management solutions for a global fintech leader, ensuring data consistency and governance across enterprise systems like Reltio and Salesforce.
Designs, builds, and scales enterprise-grade generative AI applications using LLMs, RAG, and Agentic AI on Microsoft Azure, integrating multiple data sources and ensuring reliability and governance.
Core Technical Skills Strong Python programming experience Advanced SQL DBT development Google BigQuery PySpark Data engineering and ETL/ELT pipeline development Data validation and reconciliation Data migration…
Builds and maintains AI-powered full-stack web applications for First Solar’s digital transformation, integrating LLMs, ML models, and cloud-native architectures on Azure. Focuses on scalable data pipelines, cloud infrastructure, and cross-functional collaboration to deliver analytics and automation tools for business units.
We made history and now we work to transform the future – for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams. At…
The Solution Architect will lead the design and implementation of enterprise-scale data platforms on Azure using Databricks and Delta Lake. This role involves defining architecture standards, optimizing data pipelines, and collaborating with stakeholders to support advanced analytics and AI/ML initiatives within insurance business domains.
Line of Service Advisory Industry/Sector Not Applicable Specialism Risk Management Level Senior Manager Job Description & Summary At PwC, our people in audit and assurance focus on providing independent and…
Build and operate production cloud logging, telemetry, and data platform capabilities on AWS/Azure, using IaC (Terraform), CI/CD, and scripting to handle data ingestion, streaming, and search at scale.
Design, engineer, and maintain large-scale security analytics platforms (Splunk, Elasticsearch) and data pipelines to support cyber threat detection, incident response, and investigations at Morgan Stanley Singapore.
The Software Engineer will manage big data ingestion and aggregation processes, including migrating databases from MongoDB Enterprise to MongoDB Atlas. The role involves full-stack development using Node.js, TypeScript, and frontend frameworks like AngularJS or ReactJS.
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