Job Description

Were looking for Big Data and ML Solutions Architect who expects more from their career 11 + years experience in building large scale products, distributed systems in a high calibre environment. Architecture : Identify and solve major architectural problems by going deep in your field or broad across different teams. Extend, improve, or, when needed, build solutions to address architectural gaps or technical debt. Software Engineering/Programming : Create frameworks and abstractions that are reliable and reusable. sophisticated knowledge of at least one programming language, and are happy to learn more. (Java, Python, Scala) Role & responsibilities Proven success architecting and scaling complex software solutions, Familiarity with interface design. Experience and ability to drive a project/module independently from an execution stand. Prior experience with scalable architecture and distributed processing. Strong Programming expertise in Python, SQL, Scala Hands-on experience on any major big data solutions like Spark, Kafka, Hive. Strong data management skills with ETL, DWH, Data Quality and Data Governance. Hands-on experience on microservices architecture, docker and Kubernetes as orchestration. Experience on cloud-based data stores like Redshift and Big Query. Experience in cloud solution architecture. Experience on architecture of running spark jobs on k8s and optimization of spark jobs. Experience in MLops architecture/tools/orchestrators like Kubeflow, MLflow Experience in logging, metrics and distributed tracing systems (e.g. Prometheus/Grafana/Kibana) Experience in CI/CD using octopus/teamcity/jenkins Preferred Candidate :- ONLY FEMALE Interested candidates can share their updated resumes at surinder.kaur@mounttalent.com