InOrg Global

• Run advisory and Roadmapping sessions on DevOps for our Customers. • Lead the design and implementation of our DevOps solutions, encompassing CI/CD pipelining for JavaScript, Java, and .NET and like codebases. • Architect and maintain CI/CD pipelines using tools such as Jenkins, Kubernetes (EKS), and potentially Spinnaker, JenkinsX, and FlowCD. • Ensure rigorous approval processes for deploying into each environment, including Dev, staging, and production. • Manage cloud resources across AWS, Azure, and GCP, with a focus on Azure and AWS as primary providers.

• Ensure the reliability, availability, and performance of customer platforms and services. • Bridge the gap between development and operations.

• Architect end-to-end data solutions using Microsoft Fabric workloads, including OneLake, Lakehouse, and Warehouse. • Implement Medallion Architecture (Bronze, Silver, Gold layers) and scalable ETL/ELT pipelines using Fabric Data Pipelines and Dataflows Gen2. • Define and enforce platform governance using Microsoft Purview, ensuring data lineage, access control, and regulatory compliance. • Monitor and tune Fabric Capacity (SKUs) to optimize cost-efficiency and processing speed. • Design high-performance semantic models and visualizations in Power BI using Direct Lake mode. • Design metadata patterns and structures to support Generative AI and Retrieval-Augmented Generation (RAG) workloads.

About InOrg Global: InOrg Global helps organizations achieve global competitiveness through seamless integration of talent, technology, and strategic capabilities. As a Global Capability Center Partner to companies of all sizes, from startups to Fortune500s, InOrg Global augments clients capabilities to rapidly scale their teams and meet evolving business demands. Our Core Values: Trust: We prioritize building trust in every aspect of our business, fostering relationships based on integrity and reliability. Transparency: We believe transparent practices ensure accountability, build credibility, and foster a culture of trust and collaboration Adaptability: We thrive in dynamic and evolving environments, embracing change with flexibility and resilience Innovation: Innovation is at the heart of everything we do. We encourage creativity, curiosity, and forward thinking to drive continuous improvement and solve complex challenges Sigma Developer: A Sigma developer with a data engineering background builds data pipelines, models, and architectures, typically leveraging cloud platforms like Snowflake and Databricks, to power analytics and business intelligence within the Sigma Computing ecosystem. Key skills include proficiency in SQL and Python, experience with dbt, and a strong understanding of data warehousing and ELT/ETL processes. The role focuses on transforming raw data into actionable insights by designing scalable data solutions and ensuring data quality.