Top Tech Jobs & Startup Jobs in Mumbai

Develop and enhance Python-based finance data integration and transformation platforms. Build technical designs, data models, warehouses, SQL procedures, REST integrations, and cloud architectures. Work extensively with Oracle EPM Planning and Essbase for data loads, retrievals, processing, and APIs. Support Oracle Analytics platforms including OAC, OAS, OBIEE, OBIA, and ODI. Participate in architecture reviews, Agile delivery, estimation, client collaboration, and Git-based configuration management.

Develop end-to-end data science and AI/ML solutions involving statistical modeling, machine learning, generative AI, LLMs, NLP, and unstructured data analytics. Build data models and algorithms, solve ambiguous business problems, collaborate with project managers and multiple teams, and deliver actionable insights using cloud platforms such as AWS, Azure, or GCP. Present findings and communicate effectively with technical and business stakeholders.

Leads SAP MM and WM implementations, rollouts, migrations, configuration, testing, compliance, and support across ECC/HANA environments. Manages procurement, purchasing, inbound receiving, inventory, warehouse, handling unit, master data, and procure-to-pay processes. Performs requirements gathering, blueprinting, functional specifications, integration, cutover, project management, documentation, and end-to-end testing. Requires substantial full-lifecycle and support project experience, business process expertise, and knowledge of GST and Indian inbound legal requirements.

Conducts advanced technical interviews and assessments for senior frontend developers specializing in jQuery. Develops assessment criteria, evaluates technical and problem-solving skills, provides hiring recommendations, collaborates with HR and engineering teams, mentors junior assessors, leads technical workshops, and ensures a strong candidate experience.

Support and enhance Oracle EBS applications in production and application support environments. Develop and maintain solutions using OAF, Oracle SQL, PL/SQL, Java web services, APIs, Forms, Reports, XML Publisher, and shell scripting. Apply techno-functional expertise across Oracle R12 Order to Cash and Procure to Pay cycles, integrations, workflows, and cross-functional collaboration.

Deliver SAP IdM and GRC implementations, including system integration, connector development, testing, and project build execution. Lead teams, manage stakeholders, oversee organizational change management, and resolve defects and business requirements. The role requires expertise across GRC Access Controls, SAP and non-SAP integrations, SCIM, LDAP, T-SQL, and JavaScript, along with experience completing at least two end-to-end project lifecycles.

Design and conduct advanced technical interviews and assessments for senior machine learning, NLP, and data modeling roles. Develop current evaluation criteria, collaborate with HR and technical teams, provide hiring recommendations, facilitate technical workshops, mentor junior assessors, and maintain an excellent candidate experience. The role requires deep expertise in ML and NLP methodologies, data modeling, programming tools, distributed computing, technical evaluation, and candidate feedback.

Develop and maintain Salesforce cloud integrations using .NET 8 and C#. Build REST APIs, microservices, batch workflows, job scheduling, and FTP file-handling processes. Work with Docker, Kubernetes, SQL Server, Azure, Kafka, and Git while following API security, coding, documentation, and integration best practices. This is a three-month fixed-term subcontractor role requiring immediate availability and hybrid work three days weekly in Mumbai, Pune, Bangalore, Chennai, Ahmedabad, or Noida, during the UK shift.

Administer and support Snowflake and Teradata environments, including warehouses, users, databases, schemas, and roles. Optimize workloads, investigate anomalies and access issues, fulfill ServiceNow requests, collaborate with end users, and provide on-call support. The role also involves technical leadership, feature exploration, proof-of-concepts, enhancement work, and project prioritization within budget and customer objectives.

Provide L3 support and platform engineering for the Domino Data Lab platform. Troubleshoot production incidents involving workspaces, models, jobs, connectivity, access, and performance; conduct root-cause analysis and implement permanent fixes. Manage upgrades, patching, monitoring, tuning, and reliability for enterprise data science and AI/ML workloads. Support Python and R environments, ML workflows, Kubernetes, Docker, AWS, SageMaker, and Azure Machine Learning integrations in regulated or life sciences environments.