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Designs enterprise storage architectures (SAN/NAS, replication, backup, disaster recovery) across on-premises, hybrid, and cloud environments, producing HLDs/LLDs and leading storage migrations. Works with Dell EMC, NetApp, HPE, IBM platforms and AWS/Azure/GCP; 7-11 years' experience, based in Pune.
Location: Pune Experience: 7–11 Years About the Role We are seeking a Support Analyst with strong Azure infrastructure knowledge to manage and support Azure-hosted environments. The role combines cloud infrastructure…
Senior Salesforce Developer (5–7 yrs) in a global CRM Center of Excellence: hands-on design, development, testing, and deployment of Salesforce solutions across Sales, Service, and Experience Cloud using Apex, LWC, Visualforce, SOQL, and Salesforce APIs, with integrations, release management, and Agile/Scrum delivery.
Despite the software-engineering title, this is a Decline Curve Analyst role for oil & gas assets: production forecasting, EUR/reserves estimation, and technical reporting using Whitson and Aries, plus Excel and SharePoint Power Apps, with Power BI, Python/R, and SQL as nice-to-haves. PAN India, 5-7 years experience.
Salesforce developer (5-7 years) in Pune building and customizing Field Service Lightning and Salesforce Core solutions using Apex, LWC, Aura, Visualforce, and Flows, plus integrations via REST/SOAP APIs, Platform Events, and OAuth, in an Agile team on subcontracted client work.
Site reliability engineer supporting Privileged Access Management (PAM) services within an IAM organization: keeps PAM services reliable, compliant, and automated by building .NET/.NET Core Web APIs, tuning and troubleshooting SQL Server, and automating processes with Python and PowerShell. On-site in Hyderabad for candidates with 5-7 years' experience.
Designs, configures, and customizes solutions on the Salesforce platform and builds integrations between Salesforce and third-party systems using REST, SOAP, Streaming, and event-based APIs, following solid data modeling and deployment practices. Requires 5-7 years of hands-on Salesforce experience in Hyderabad.
Backend-focused software engineer (5–7 yrs) at a cybersecurity-line technology services firm, designing and maintaining REST APIs, microservices, and scalable backend services in Python, Go, or Node.js within Agile teams. React full-stack work, CI/CD, and reusable libraries/SDKs are pluses.
Senior Salesforce developer (5–7 yrs) in Bengaluru building AI-powered automation with Agentforce, Einstein AI, and Data Cloud across Sales, Service, and Experience Cloud. Day-to-day work spans designing agents, Apex/LWC/Aura development, integrations, testing, and CI/CD support in an Agile team.
A mainframe engineer role focused on developing, maintaining, and supporting enterprise applications on the IBM i/AS400 platform using RPG400/RPG ILE, CL/400, SQLRPGLE, and DB2/400. Day-to-day work includes coding, production support, batch job monitoring, performance tuning, and deployments, with GitHub Copilot and prompt engineering as mandatory skills.
Senior Salesforce Administrator on a Salesforce COE team providing Tier 3 support across global business units — handling escalations, user/territory/data management, and delivering configurations and enhancements in UAT and Production. Core stack: Salesforce Flows/Workflows, SFDX, CLI, VS Code, Git, and ETL tools.
Data analyst (7–8 yrs experience) for Industrial IoT data, on-site in Bellandur, Bengaluru with a 1:30–10:30 PM IST shift. Builds Power BI dashboards, writes and optimizes SQL, and works with Azure Synapse, Data Lake, and Azure SQL, plus Power Apps/Power Automate; Azure IoT is mandatory.
MLOps engineer building and running production-scale machine learning systems for industrial IoT: designing end-to-end ML pipelines, training/inference APIs, and automated retraining on Azure. Core stack: Python, Azure ML, MLflow, Docker/Kubernetes, CI/CD, Ansible, Databricks, and Spark.
Full-stack data scientist in Pune building end-to-end data solutions: ML and statistical models, Python data pipelines and APIs, HTML/CSS/JS dashboards, and deployment to AWS, Azure, or GCP. Requires 5–7 years of hands-on Python data science experience across the full application stack.
IGA engineer (5–7 yrs) implementing and supporting the Saviynt identity governance platform: integrating it with Active Directory, Azure AD, AWS, ServiceNow and REST apps, running access certifications, SoD controls and provisioning, plus SQL reporting, dashboards, patching/upgrades, and technical documentation.
Data engineer (5–7 years) designing, building, and maintaining PostgreSQL-based data pipelines and reusable enterprise data assets. Day-to-day work centers on advanced SQL, query/performance tuning, indexing and partitioning, data modeling, and data quality for analytics and real-time consumption.
Senior data engineer (7–8 yrs) building and optimizing scalable ETL/ELT pipelines, data warehouses, and lakehouse platforms for batch and real-time processing using Apache Spark, Databricks, SQL, Python, and Azure services (ADF, Synapse, ADLS, plus Azure IoT). On-site in Bellandur, Bengaluru with a 1:30–10:30 PM IST shift.
A permanent, on-site data engineering role in Hyderabad for a specialist with 5–7 years of experience, focused on building data integration and analytics solutions using Oracle Data Integrator (ODI) and Oracle Analytics Cloud (OAC) on client projects.
Data engineering specialist in Hyderabad who builds and maintains end-to-end data transformation pipelines and orchestrated workflows for data warehousing. Core stack: Snowflake for warehousing, Python for data engineering, DBT for transformations, and Apache Airflow for orchestration; requires 5–7 years of experience.
Data engineer (5–7 yrs) in Pune building and supporting PostgreSQL-based data pipelines and reusable data assets for enterprise analytics. Day-to-day work centers on production-grade SQL, query tuning and indexing/partitioning, logical and physical data modeling, data contracts, schema evolution, and resilient ETL.
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