... workflows for real-world use cases. Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, ...
... delivery, developer experience, and long-term extensibility. Requirements At least 5 years of software engineering experience building distributed systems such as data ingestion pipelines, databases, and services. Experience with object-oriented programming and Go. Experience with at least one cloud provider, including AWS, ...
... AI/LLM-powered systems — integrating APIs, contributing to agenticworkflows, or extending AI-assisted backend features. Partner closely with Product, Design, Data Engineering, Platform/SRE, and ContentOperations to deliver and harden high-impact workflows. Contribute to engineering quality through strong code reviews, reusable ...
... workflows for real-world use cases. Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, ...
... skilled and experienced Senior Data Engineer to join our growing data team. In this role, you will lead the design and implementation of scalable, high-performance data pipelines using Snowflake, dbt, and Matillion Data Productivity Cloud, define architectural best practices, and drive data transformation at scale. You will work ...
... scalable, reliable, secure, and cost-efficient cloud infrastructure for our next-generation Analytics Platform. As a DevOps Engineer, you will work across Kubernetes, AWS, CI/CD, Infrastructure-as-Code, GitOps, release management, security, networking, and FinOps. You will partner closely with software engineering teams working ...
... Qualifications & Experience: Bachelor's or Master's degree in Computer Science, AI/ML, Engineering, Data Science, or a related discipline. 9+ years of software engineering experience, with 2+ years building and deploying production LLM-powered applications. Proven experience with: Cloud LLM providers: AWS Bedrock, Azure OpenAI, ...
... certifications AWS/Azure/GCP database certifications ITIL certification SAP S4 HANA Key Deliverables The DBA will be responsible for: Stable and highly available database operations. Proactive database performance monitoring and optimization. Reliable and tested database backup and recovery. Effective database disaster-recovery ...
... own end-to-end data pipelines that ingest, transform, and deliver high-volume advertising data from multiple platforms. The role sits at the intersection of data engineering, programmatic advertising, analytics, and attribution. You will work extensively with Snowflake and AWS while contributing to data architecture, real-time ...
... networking — DPDK, RDMA, kernel bypass — for ultra-low-latency quant application infrastructure. Familiarity with Apache Kafka or Solace for real-time market data distribution and event-driven quant platform architecture. AWS Certified DevOps Engineer Professional or Azure DevOps Engineer Expert certification. Certified ...
... S3, SQS, CloudFront) and GCP (GKE/Kubernetes, Cloud Build, Firebase), using Docker, Terraform, and Helm. Monitor and improve performance and reliability with Datadog, OpenTelemetry, and Prometheus/Grafana; participate in an on-call rotation for production support. 5+ years of experience as a software engineer on SaaS or ...
... turning raw data into accurate, timely, and trusted intelligence that drive decisions at the executive and departmental level. You will work closely with our Data Engineers, DIM Team Lead, and business partners to build dashboards, define KPIs, and maintain rigorous data quality. This role is critical to the integrity and ...
... & Cloud Data Platforms • Data Architecture & Modelling • Collaboration & Best Practices • Quality & Governance Business Relationships • Solution Architects • Data Engineers, Developers, and Analysts • Client stakeholders up to Head of Data Engineering, Data Architect, and BI leadership levels Competencies / Critical Skills ...
... external business functions to ensure global master data is maintained at the highest quality level. Key Performance Measures Meeting Project Milestones Master Data Accuracy On time delivery of Data analysis to stakeholders Knowledge, Skills And Experience Data Analysis & Problem-Solving Ability to analyze large datasets, ...
... understanding of web and network technologies, including TCP/IP, DNS, TLS/SSL, and web application architectures. - Ability to collaborate effectively across data science, security, operations, customer-facing, and engineering teams. Permanent workplace flexibility with the ability to work from home, from an office, or ...
... Science, or Data Science. Master's or PhD preferred. - 10+ years relevant experience as an Analytics Engineer / Data Engineer or similar, partnering with product, engineering or growth teams at a Saas or enterprise software company - Experience with data engineering building analytic data repositories leveraging data sources from ...
Technical Sales Engineer Location: PAN India (Remote) Experience: 5+ years Technical Sales experience along with 3+ years of experience and exposure to cybersecurity and AI products Kapalins builds an AI-native security and governance platform for enterprises adopting generative AI: managing AI risk, model and data exposure, ...
... highly available distributed systems and services. - Experience working with data pipelines, both event-driven and synchronous. - 3+ years of overall software engineering experience - Experience with relevant tech stack: - Language: Golang, Python - Cloud Platform : AWS - Framework: Spark - Experience with Storage / Data Pipelines ...
... end to end. No one currently rehearses database restores, owns index and capacity strategy, or reviews schema changes before they reach production. Because the data includes client money movement and KYC records, this is a compliance exposure as well as an engineering one. Own backup, point-in-time recovery and retention ...