Top SQL Jobs in Pune

Join the IP Network Intelligence team to own QA for deep-packet inspection and network-protocol features. Create test plans, execute end-to-end, integration, regression and system tests, analyze network traffic with packet-capture tools, log defects in Jira, develop/maintain automated tests, and collaborate with developers and product owners in an Agile scrum environment to ensure release quality.

Responsible for building and operating data architectures, creating data pipelines, and implementing DataOps practices to support data scientists and engineers.

Ensure reliability and performance of the platform and data ecosystem by troubleshooting production issues, monitoring data pipelines, standardizing operational tools, automating operations, participating in incident management and RCA, and collaborating with engineering, analytics, product, and customer-facing teams.

The Solution Architect will manage IAM projects, provide architectural guidance, mentor team members, and enhance delivery frameworks for Identity and Access Management solutions.

The MES Consultant provides consulting services for biotech and pharmaceutical clients, focusing on MES implementation, software development roles, and client communication.

The MES Consultant will provide consulting services in biotech and pharmaceutical industries, assisting with MES implementation and support.

Design, build, and maintain cloud data pipelines, warehouses, and lakes on AWS and Snowflake. Develop ETL/ELT, data transformations, ingestion, and reusable components, collaborate with data scientists on ML deployment, and ensure data governance, security, and operational excellence.

As a Senior Software Developer at STChealth, you will develop, test, and deploy applications, enhancing healthcare data management and analytics.

Deploy, implement, maintain and debug FlexTrade trading systems for large financial institutions. Customize trading applications, support production environments, perform root-cause analysis using logs, code inspection and database queries, build troubleshooting tools/scripts, and integrate external applications via APIs.

Perform advanced analytics on large datasets, design and build automated data pipelines, investigate data quality and lineage, and create interactive dashboards. Translate insights into actionable campaign and process recommendations, partner with stakeholders and support campaign delivery and BAU operations.

Lead QA automation for a digital colleague workplace: design and implement test strategies, automate UI/API workflows (Playwright/Selenium, REST Assured), maintain regression/performance/accessibility coverage, mentor junior testers, collaborate with product and engineering, and own QA delivery across releases and BAU.

Perform data investigation, design ETL/data pipelines, apply advanced analytics and ML to large datasets, create dashboards and automated reports, and translate insights into actionable campaign and operational recommendations while managing stakeholders and team responsibilities.

Design, build and maintain scalable, secure Java microservices and full-stack solutions. Collaborate with product, design, and engineering peers, follow DevSecOps practices (GitLab pipelines, container deployments), implement messaging and data solutions (Kafka/MQ, SQL/NoSQL), apply secure coding and automated testing, and contribute to technical strategy and operational controls for liquidity platforms.

Develop and maintain reliable data pipelines, ELT processes, workflow orchestration, custom data connectors, and CI/CD pipelines using Airflow, Python, PySpark, Hive/Trino, SQL, and Snowflake. Collaborate with cross-functional teams, monitor and troubleshoot data workflows, validate and test data, document technical processes, and support data governance.

Build and deploy full-stack AI applications integrating LLMs, RAG architectures, vector databases, and multi-agent systems. Develop Python backends, APIs, ingestion pipelines, responsive interfaces, and real-time dashboards. Design and optimize PostgreSQL databases, containerize applications with Docker and Kubernetes, manage AWS and GPU infrastructure, and operate Linux environments. Mentor developers, conduct demonstrations, evaluate emerging AI technologies, and improve reliability through testing, debugging, performance tuning, and quality processes.

Develop and scale analytics models and tools that optimize transportation networks, reduce shipping costs, and improve business performance. Own carrier dashboards, routing and ship-speed optimizers, chargeback systems, and cost benchmarking engines. Deliver predictive and real-time KPI reporting, automate processes, improve data accuracy, and provide rapid decision support. Collaborate with cross-functional teams and present actionable insights to US-based leaders.

Participate in structured SAP training covering S/4HANA, business processes, configuration concepts, testing, documentation, and troubleshooting. Assist senior consultants with requirements gathering, issue tracking, process analysis, and project scenarios. Develop functional or technical expertise across SAP areas such as FICO, MM, SD, ABAP, Basis, BTP, and SuccessFactors, with mentorship and preparation for entry-level SAP consulting roles.

Analyze customer behavior and product usage across HighLevel’s lead-generation products. Define and monitor product metrics, build dashboards, conduct funnel, cohort, segmentation, retention, and journey analyses, evaluate experiments and feature launches, improve tracking instrumentation, and identify growth opportunities. Partner with Product, Engineering, Design, Data, and GTM teams to translate complex data into actionable recommendations for roadmap prioritization, product improvements, conversion, adoption, engagement, and retention.

Design and secure enterprise data architectures and integrations across Finance, HR, Procurement, Legal, and other G&A systems. Build API, webhook, microservice, and file-based integrations; define data models, lineage, and ownership; implement AI and MCP-enabled automation; enforce encryption, masking, access controls, and SOX/GDPR compliance; and collaborate with business, security, and audit teams to deliver reliable, scalable systems.

Lead enterprise data strategy, governance, and standards; translate business needs into scalable data solutions; drive cross-domain analytics, data quality, and operational excellence; mentor team members and enable business adoption of data deliverables aligned to measurable value.

Leads end-to-end data products from ingestion and transformation through semantic modeling, Power BI reporting, documentation, governance, and user adoption. Builds Microsoft Fabric pipelines, Lakehouse or Warehouse architectures, dimensional models, and secure, optimized Power BI solutions. Analyzes data, supports advanced analytics and AI-assisted reporting, establishes quality and CI/CD practices, collaborates with cross-functional stakeholders, and manages data engineers through objectives, reviews, and development.

Designs and implements computer vision and machine learning algorithms for aquaculture applications. Responsibilities include developing prototypes, conducting experiments, building data-processing and training pipelines, maintaining model testing and statistical verification, extending AI codebases, documenting research, leading long-term research, recruiting talent, and tracking AI developments. The role may also involve production deployment, inference optimization, MLOps, cloud platforms, and occasional visits to aquaculture sites.

Supports business and technology initiatives by analyzing processes, gathering and documenting requirements, creating user stories, process flows, and acceptance criteria, and translating business needs into technical solutions. Facilitates workshops and stakeholder meetings, performs data analysis and reporting, supports agile project delivery, and conducts user acceptance testing. Collaborates cross-functionally to improve operational efficiency and deliver business solutions.

Provide advanced, client-facing technical support for a SaaS IT management platform. Diagnose complex application issues involving integrations, authentication, APIs, automation workflows, logs, and platform behavior. Advise enterprise customers on integrations, workflow optimization, and advanced features, while collaborating with Development and Customer Success teams. The role requires strong communication, troubleshooting expertise, SaaS application support experience, rapid technology learning, and availability for EMEA/APAC business-hour overlap.

Drive process improvement, automation, and analytics across SOX, Internal Audit, and Enterprise Risk Management functions. Map workflows, eliminate manual effort, build CI/CD-enabled automation and testing frameworks, and develop Power BI dashboards using Python and SQL. Configure Jira workflows and compliance automation, implement compliance-as-code monitoring, and apply GenAI with audit-ready guardrails. Partner with technology and compliance teams to deliver scalable, measurable, and defensible solutions.