Golang Developer

Skills

· More than 6 years of IT experience with about 4+ years in data management and at least 2+ years of cloud experience (AWS GCP or Azure). · Experience in migrating on prem applications and data to Cloud (GCP Azure or AWS) for distributed and ERP Systems using industry standard tools. · Experience in implementing and configuring APIGee Hybrid setup in AWS Google or Azure for large scale applications. · Experience using relational database technologies like Snowflake Aurora and NoSQL database like MongoDB and GraphDB · Experience in setting up authorization and attribute-based access control using Axiomatics. · Experience with enterprise search engines (Elasticsearch Solr) · Experience with implementing and deploying message-based and event-based stream processing using Kafka Kafka Streams · Ability to effectively apply complex graph tree data structures to implement performant algorithms. · Experience developing GraphQL Rest API’s and federated GraphQL APIs. · Experience with validation of versioning and or processing large XML or JSON feed · Experience building data pipelines in big data ecosystems using Glue ETL Spark and EMR enterprise-grade data and analytics platforms that are highly scalable compliant and secure with robust data quality algorithms · Proficient in building large scale systems and applications using Python Java Pyspark Hive other high-performance languages developer tools CI/CD DevOps monitoring tools and engineering cloud migration solutions · Proven track record in implementing and deploying enterprise-wide API management Microservices Event-driven architectures and complex integrations. · Experience in leading and delivering data centric projects with concentration on Data Quality and adherence to data standards and best practices · Hands-on knowledge in public cloud such as AWS Azure or GCP products cloud-native architectures serverless frameworks Docker/Kubernetes data security integration services and creating/maintaining optimal data pipeline architecture. · Knowledge in Data Architecture Data Modeling and adopting best practices and policies in the Data Management space. · Collaborative - able to build strong relations that enable robust debate and survive periodic disagreements regarding priorities. · Ability to communicate effectively with technical and non-technical audience

Description

McKinsey’s Technology & Digital function is responsible for developing and delivering all technology solutions for the Firm’s internal use. We are taking a cloud-first approach to transform our data platforms and analytical applications across the firm. We are seeking experienced cloud data experts to shape and accelerate the delivery of target state cloud-based platforms and the migration of existing data assets to the cloud. We are looking for passionate data engineers who loves to build our data solutions on the cloud that enhances our capability to build great datadriven products, AI/ML capabilities and next-gen client and colleague experiences in a highenergy agile environment.



WHAT YOU’LL DO

As a member of the team, you will be responsible for working in the migration of enterprise data platforms onto the cloud to help accelerate the Firm’s cloud-first transformation. As an expert cloud data engineer with expertise in data platforms and API Gateways, you will be responsible for configuring API Gateway solution to access distributed data sources, across on-premises, public cloud service providers and SaaS ecosystems. You will work with a team of data engineers that works across the global hubs to build target state platforms and migrate existing applications and products. You will also be part of an effort to build next-gen data platforms on the cloud to enable our Enterprise colleagues with rapid data access and incubate emerging technologies