Top SQL Jobs in Pune

Design BMS for modular buildings including Revit modeling, equipment/material specifications, construction and as-built documentation, I/O and network diagrams, and BOMs. Lead BMS documentation, support FAT/SAT and on-site commissioning, validate fire alarm and security system designs, collaborate with suppliers, manufacturing, QA and commissioning teams. Data center or critical infrastructure experience preferred.

Design and lead BMS, fire alarm, and security control-system projects: produce Revit/AutoCAD documentation, I/O lists, network/riser diagrams, specifications, FAT support, and on-site commissioning for global modular/data-center projects.

The Data Scientist will analyze and model data for ML systems, focusing on Personalization and Recommendation Engines, and collaborate with teams to enhance data-driven solutions.

The Data Scientist will analyze data, optimize ML systems for pricing, propose ML opportunities, collaborate with teams, and support data-driven decisions.

Build and enhance Shopify storefronts and landing pages, develop subscription and personalization tools, create internal dashboards and operational systems, build custom Shopify apps and backend workflows, optimize checkout and site performance, and collaborate to turn concepts into production-ready, scalable e-commerce products.

The Senior Data Engineer will design and optimize ETL/ELT pipelines, manage data integration, perform data validation, and support reporting solutions using various technologies.

The role involves developing enterprise applications using Java and Spring, integrating AI features, mentoring junior developers, and collaborating with cross-functional teams.

The DevOps Engineer will manage and enhance deployment, automation, and monitoring of production applications, while collaborating on infrastructure and security challenges.

The Product Operations Manager drives clarity and efficiency across product teams by leveraging data insights, aligning cross-functional operations, and enhancing processes for product launches.

As a Sr Workday Analyst, you'll translate user requests into system solutions and manage projects, ensuring effective testing and training while resolving business issues across teams.

Design, build, and own AI-powered full-stack platforms and features from discovery through production. Embed AI into products and workflows, ensure reliability and security, support incidents, and mentor teammates.

Partner with go-to-market teams to build automations, processes, dashboards, and analytics that streamline sales operations, inform experimentation, and drive revenue growth. Serve as a strategic advisor to leadership and cross-functional teams, implement end-to-end solutions, and lead reporting and KPI design.

The Software Engineer will provide technical support to customers, collaborate with engineering teams, and drive customer success initiatives while leveraging Python and SQL expertise.

Lead analytics engineering work to design, build, and maintain dbt-based transformation pipelines, governed metrics/semantic layers, and analytics-ready data marts on Snowflake or Databricks. Ensure data quality with automated tests and observability, support product analytics and ML feature datasets, partner with Product/Engineering, mentor junior team members, and participate in on-call rotations.

Provide multi-channel technical support for WhatsApp API customers, troubleshoot API/webhook issues, liaise with L2 teams and WhatsApp/Meta, guide partners through onboarding and the WhatsApp Business ecosystem, and collaborate with commercial teams.

Senior API Automation Engineer responsible for designing and maintaining scalable API automation frameworks using Karate and JavaScript, writing BDD Gherkin tests, automating REST API validations, integrating suites into CI/CD, executing regression and integration tests, collaborating with Agile teams, and improving reporting, logging, and reusable utilities.

Lead marketing measurement, attribution, forecasting, and AI-driven insights. Build dashboards and ROI models, partner with data teams, and translate analytics into executive narratives to drive revenue and investment decisions.

Lead Defined Benefits client projects end-to-end: plan and track deliveries, manage risks and stakeholders, translate complex business needs into system requirements and BRDs, oversee testing and sign-offs, coach and manage team members, and drive process automation and project documentation.

Design, implement, and maintain scalable backend services using Golang or Node.js on AWS. Optimize SQL databases, resolve concurrency and performance issues, contribute to CI/CD, collaborate with frontend teams, and continuously improve system reliability and scalability.

Design, develop, and support enterprise AI solutions: lead AI solution design, build prompts/workflows, implement RAG, integrate AI platforms with corporate applications, deploy/manage AI services on Azure, administer Azure AI Foundry, troubleshoot tickets to SLA, and lead platform upgrades and documentation.

Responsible for black-box testing and verification of MaxScale across many configurations, managing packaging and quarterly releases, maintaining automated build infrastructure, troubleshooting builds, reproducing customer issues, and contributing test cases or fixes. Works closely with support, development, and release teams.

Build, deploy, and maintain ML and optimization models for a quick-commerce marketplace (matching, pricing, recommendations, ETA). Design experiments and causal analyses, engineer features from messy geospatial and conversational data, own production ML pipelines, monitor model health, and collaborate cross-functionally to deliver reliable, incremental improvements.

Lead architecture and hands-on development for Vena's C#/.NET Excel desktop add-in. Drive feature design, upgrades, performance optimization, complex bug fixes, cross-team collaboration, mentoring, and technical initiatives to improve code and product quality while working on a distributed, remote-first team.

Lead marketing analytics: own reporting frameworks, dashboards, and data quality; monitor KPIs; run A/B tests and experiments; build attribution, forecasting, segmentation, and budget-allocation models; automate workflows and drive continuous measurement improvements.

Build and maintain scalable batch and real-time data pipelines using Kafka, Maxwell, Spark and dbt; design medallion-based data models; implement cloud-native data platforms (S3, Trino, BigQuery); optimize performance, ensure data quality, observability, and SLA adherence; enable analytics through trusted datasets and Metabase dashboards.