Top SQL Jobs in Pune

The ETL Developer is responsible for creating ETL packages, managing SQL databases, performance tuning, and automating data processes while ensuring data integrity and quality.

The role involves expertise in Teradata architecture, SQL performance tuning, and end-to-end data warehousing implementation, with knowledge of Azure tools being advantageous.

The Java Automation Engineer will develop automation frameworks, maintain scripts, and collaborate with teams in an Agile environment, utilizing tools like Selenium and Java.

This role involves collaborating with users to build data solutions, managing AWS data technologies, and automating workflows for efficiency.

The Power BI Developer will create datasets, dashboards, and reports, collaborate with users to meet requirements, maintain the Power BI environment, and provide user support and training.

The role requires developing ETL processes, integrating data sources, and writing complex SQL queries. Additionally, experience with data warehousing concepts and Big Data technologies is needed.

The Azure Data Engineer will implement big data pipelines using Azure technologies, collaborate with stakeholders, and utilize tools like Data Factory and Databricks.

Design, build, and maintain cross-vendor market data pipelines and QA processes. Investigate complex data issues, handle escalations, collaborate with product and engineering via JIRA, and ensure data accuracy for equities fundamentals, estimates, and market data.

Lead or support Infor SyteLine ERP deployments, configure modules (Manufacturing, Supply Chain, Finance, Inventory, CRM), develop customizations using .NET and SQL, integrate with non-Infor systems, and build dashboards and reports. Requires understanding of manufacturing and supply chain processes.

Develop and maintain Python backend components, design and optimize SQL for large datasets, perform ETL, integrate front-end and third-party services, troubleshoot applications and databases, ensure data quality and security, participate in code reviews, and produce technical documentation.

Design and implement scalable cloud-native data and analytics platforms (AWS/Azure) using Databricks, Snowflake, SQL, Python/PySpark. Build ingestion, ETL/ELT, orchestration, integration, and reporting pipelines. Support data modeling, analytics-ready structures, BI tools, CI/CD, deployments, production support, incident management, and AI/ML-enabled analytics. Collaborate with architects, stakeholders, and engineering teams to drive standards, governance, and operational excellence.

Lead design and delivery of NLP and Generative AI solutions, from problem definition through deployment. Build and fine-tune transformers and LLMs for summarization, QA, classification and chatbots, apply classical and deep learning methods, ensure scalable reproducible ML workflows in cloud environments, mentor junior data scientists, and collaborate with product and engineering to translate business problems into AI solutions.

Design and implement AI/LLM-driven data extraction and ETL pipelines, build web crawling and API integrations, implement RAG systems, mitigate LLM hallucinations, evaluate third-party tools, and collaborate with content and analytics teams to deliver high-quality, scalable data for downstream analysis.

Lead tax functional consultant responsible for implementing and supporting global indirect tax solutions using Vertex and Oracle Cloud Fusion Tax. Partner with business stakeholders to define processes and roadmaps, configure tax rules, manage integrations, support SIT/UAT, troubleshoot critical issues, and lead cross-functional teams through implementations and M&A-related tax integrations.

Develop, test, debug and maintain web and mobile fintech applications. Work in an Agile environment with cross-functional teams, manage time-sensitive deliverables, provide technical support, and improve user experience while reporting to IT leads and the CTO.

Design and implement Python-based automated UI and API tests using Selenium, Pytest, Rest Assured or Postman. Validate data with SQL, maintain test environments, collaborate with development and QA, analyze results, and report defects to ensure high-quality deliveries.

Deploy and productionize ML models on GCP Vertex AI for real-time and batch inference. Build scalable pipelines, perform feature engineering, monitor model performance and drift, support ML-Ops and governance, and collaborate with teams on retail banking (credit risk, marketing, customer service) use cases.

Design, build, and maintain scalable web applications using the MERN stack and Next.js. Collaborate with cross-functional teams and designers to implement UI/UX, create reusable components, optimize performance across devices, manage and improve codebases, work with SQL databases, integrate RESTful APIs, and troubleshoot complex issues.

Designs, builds, and optimizes machine learning models and infrastructure, develops production-grade ML services and data pipelines, conducts research and evaluation, implements LLM fine-tuning and RAG solutions, and partners cross-functionally to translate business requirements into deployable ML deliverables.

Build and maintain Python backend services and internal tools for AI/LLM applications. Integrate LLM APIs, design scalable REST APIs and async workflows, handle prompt management and model routing, monitor performance, debug distributed systems, automate data workflows, and collaborate to productionize AI features with emphasis on scalability, reliability, and safety.

Build Plane's outbound engine end-to-end: source and enrich lists, run multichannel cold email and LinkedIn sequences, maintain deliverability, integrate LLMs and automation, sync CRM and route leads, instrument attribution, and optimize for reply rate and pipeline.

This role involves assisting in CI/CD pipeline development, configuration management, cloud platform work, and learning DevOps tools within a remote team.

As a Senior Data Engineer, you will develop and maintain data pipelines for healthcare data, ensuring data quality, reliability, and adherence to enterprise standards while collaborating with architects and stakeholders.

The Business Intelligence Manager leads Tableau development, data strategy, and stakeholder engagement, while managing a team and ensuring data governance in pharmaceutical client engagements.

Develop and maintain Digital Workplace tools, working closely with teams, performing testing, debugging, and technical research. Requires web development experience and familiarity with modern software architectures.