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Senior Data Engineer builds and maintains scalable ETL/ELT pipelines using PySpark, AWS Glue, EMR, Lambda, and Redshift to process large-scale data in hybrid Hadoop/AWS environments.
Lead the design and build of scalable data pipelines and ETL processes for a bank, using Spark, Flink, and AWS to deliver clean, real-time data for analytics and AI-driven insights.
Design and run performance tests for DTCC’s financial-market systems, analyze bottlenecks with tools like JMeter and Dynatrace, and automate tests in a CI/CD pipeline.
Mid-level engineer building and maintaining store-facing software using React, Node.js, and AWS services to support 7-Eleven’s retail operations.
Lead enterprise architecture for cloud connectivity, network security, and hybrid systems at a $1.5T+ financial services firm, defining roadmaps and standards for AWS/Azure deployments.
As an Analytics sales specialist in this rapidly expanding field, you'll drive growth by helping customers leverage emerging technologies that directly impact their technical capabilities and business success. You…
Lead performance test engineer at DTCC, designing and automating load/resiliency tests for financial-market systems using JMeter, LoadRunner, AWS, and CI/CD pipelines.
Build and scale Kotak’s next-gen AWS-based data lakehouse, designing pipelines, ETL workflows, and governance for a 100+ member team revamping the bank’s entire data platform.
Build cloud-native backend services and data pipelines for real-time water management analytics, integrating AI/ML features to power smart alerts and anomaly detection for utilities.
Lead a team to design, automate, and execute performance and resiliency tests for DTCC’s financial-market systems using tools like JMeter, LoadRunner, and Dynatrace, ensuring scalability and reliability.
Build and maintain scalable data pipelines and analytics infrastructure on AWS to power Amazon’s digital media businesses and drive product decisions.
Job Title : Data Engineer (DE) Location : Hyderabad / Bangalore Experience range : 3-8 What we offer Our mission is simple – Building trust. Our customer's trust in us is not merely about the safety of their assets…
Design and build scalable, cloud-native data pipelines and architectures using AWS, GCP, Azure, Snowflake, or Databricks to power real-time and batch analytics for enterprise AI solutions.
Design and build AWS-based data warehouses and ETL pipelines to consolidate Amazon Advertising sales data, enabling self-serve analytics and reporting for internal teams.
Build and maintain large-scale data pipelines and warehouses for Prime Video using AWS and big data tools to power analytics and strategic decisions.
Own the product vision and roadmap for AWS messaging services (SQS, SNS, Amazon MQ), defining features that help developers build reliable, scalable distributed systems at any scale.
Build and maintain distributed billing systems that resolve AWS entity data and determine Seller of Record for invoices, using DynamoDB, OpenSearch, and Kinesis at massive scale.
Build cloud-based detection systems for wireless threats at Amazon facilities, analyzing RF telemetry and security data to surface anomalies and validate security posture using Python, AWS, and AI-assisted workflows.
Build real-time data services that power AI-driven ads at Amazon Advertising, including streaming pipelines, LLM profile generation, and multi-tenant authorization for millions of advertisers.
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