Top SQL Jobs in Pune

The FP&A Analyst will manage financial planning and reporting, collaborate with teams, and utilize AI for process improvements in finance.

You will implement scalable services, write maintainable code, participate in reviews, and improve automation and operational reliability.

Gather and analyze business and risk user requirements; produce functional designs and specifications for market risk systems; assess impacts; create and execute test plans (UAT, regression, simulation); support BAU including data sourcing, extraction, and analysis for Market and Liquidity Risk Data Store; manage delivery timelines.

Design, build, and operationalize AI-enabled data pipelines and production-grade AI applications using Python and Snowflake. Prepare and transform large datasets, develop features and embeddings, support deployment and monitoring of ML/LLM models, optimize Snowflake for AI workloads, and collaborate with data science and engineering teams to deliver scalable APIs and RAG-enabled data workflows.

Senior full-stack engineer to design and build customer-facing applications and data pipelines. Use AI coding agents to decompose, review, and validate code; develop REST APIs (FastAPI), front-end features, and ETL pipelines; implement CI/CD on AWS; collaborate with stakeholders and document agent contexts and prompts to support AI-assisted development.

The Senior Web3 Data Analyst will manage web3 analytics, monitor on-chain activity, analyze competitor metrics, and deliver insights for product and leadership teams.

Lead full-funnel growth across Southeast Asia: remove onboarding friction, run multi-channel acquisition campaigns, own campaign P&L, collaborate with product for growth loops and feature launches, and build segmentation and lifecycle frameworks to increase activation, retention, and LTV.

Lead design, implementation, and optimization of Salesforce Marketing Cloud (including Marketing Cloud Next). Build multi-channel campaigns and journeys, manage data integrations and segmentation, develop dynamic content (AMPscript, SSJS, HTML/CSS, SQL), monitor KPIs, and mentor team members to deliver personalized, scalable marketing automation solutions.

Lead CRM and loyalty strategy and roadmap, manage Salesforce Marketing Cloud implementations and integrations, execute multi-channel campaigns, drive segmentation and personalization, own performance analytics and ROI, and lead cross-functional teams and external partners to grow revenue and customer lifetime value.

Lead end-to-end delivery and optimization of Salesforce Marketing Cloud/ExactTarget solutions: translate business requirements, design journeys and segmentation, build AMPscript/SSJS/SQL templates and automations, integrate with Salesforce CRM and external systems, execute QA and campaign analytics, mentor juniors, and enforce platform governance.

The IT Applications Analyst Principal leads the design and enhancement of Blue Yonder WMS solutions, ensuring reliability and performance in distribution centers while mentoring junior staff.

Design, build, and maintain scalable, high-performance cloud services and REST APIs for a cloud-scale Data Security Posture Management platform. Participate in planning, estimation, code reviews, and sprints; collaborate with product; support and troubleshoot production issues; and improve processes, CI, and reliability while working across front-end, back-end, and services.

Lead end-to-end customer data integration and migration projects using SQL, ETL, and scripting. Act as technical advisor, design tailored solutions, manage 10–15 projects, document requirements, mentor juniors, and collaborate with government stakeholders and cross-functional teams to improve and automate data workflows.

The Tableau Developer will create and manage BI solutions, conduct data analysis, improve systems, troubleshoot issues, and develop database queries.

The Power BI Developer will connect with business stakeholders, analyze data, recommend solutions, and act as a bridge between business and tech teams, focusing on data modeling and visualization best practices.

The Bigdata Engineer will design and develop ETL/Hadoop and analytics components, ensuring performance optimization and adherence to architectural standards, while managing distributed computing tasks and data ingestion workflows.

Lead the development of analytics systems and predictive models, manage a team, preprocess data, analyze trends, and present findings.

We are looking for a Data Engineer with skills in Python, SQL, and Azure technologies to develop Big Data applications. Responsibilities include working with Spark and Docker to handle large scale data processing and analytics.

The Big Data Engineer will support existing applications and work on new design and implementation requirements, utilizing big data technologies and tools.

The Data Engineer role involves analyzing raw data, building data systems, conducting complex analyses, and enhancing data quality by collaborating with data scientists and architects.

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.