Top SQL Jobs in Pune

Design and scale data platforms for Mitratech's GRC product suite, focusing on data architecture, modern analytics tools, and AI integrations.

Design, build, and maintain automated test suites for web, API, and backend services using Playwright and JavaScript. Integrate tests into CI/CD, perform API and DB validations, investigate defects, mentor junior QA, and improve automation frameworks for reliability, scalability, and fast feedback.

The Senior Software Engineer will design, develop, and maintain ColdFusion applications, mentor junior team members, and improve development practices and methodologies.

The role involves managing LRC data, integrating various systems, building dashboards, and providing data-driven insights to support strategic decisions in Legal, Regulatory, and Compliance departments.

Design, build and maintain AWS-based data pipelines, warehouses and lakes. Support L2/L3 application operations, optimize databases, implement ETL/ELT with Snowflake and DBT, collaborate on ML model deployment, and lead service improvements, monitoring and automation.

Design, develop and deliver scalable, resilient Java-based REST APIs using Spring Boot and API management platforms. Collaborate with product and engineering teams, enforce secure coding and unit testing, participate in code reviews, and support CI/DevOps pipelines and performance testing to meet business objectives.

Manage and implement IAM policies and processes, perform audits, respond to security incidents, and develop governance documents in collaboration with IT teams.

As an Azure Data Engineer, you will innovate and maintain data engineering services for Fortune clients, develop software for large projects, and utilize Azure components for solutions.

The GCP Engineer focuses on developing large scale data engineering solutions using GCP, including data pipelines and ETL processes for Fortune clients.

Join the Commercial Applications team as an Application Developer, focusing on enhancing DocuSign CLM features, integrating systems, and delivering solutions. Responsibilities include coding, testing, debugging, and collaborating with teams to improve application functionality.

The Java Developer will work on backend Java development, utilizing frameworks and technologies such as Spring, Hibernate, and REST APIs, along with cloud and DevOps practices, in a banking context.

The role involves investigating customer-reported incidents, implementing change requests, resolving defects, and managing product upgrades, focusing on Java and database logic.

The Data Migration Engineer executes technical builds and validations of data migration pipelines, ensuring accurate SQL processes and data integrity for client data migrations.

The Statistical Programmer II will leverage expertise in SAS, R, SQL, and Spotfire for clinical data management and visualization, overseeing multiple studies in the drug development process.

The Business Analyst will analyze complex datasets using SQL, create visualizations in Tableau, and utilize R and Python for statistical modeling to support business strategies.

Support Twilio customers by resolving issues with email infrastructure, APIs, and communication protocols. Collaborate with teams to improve customer experience and provide feedback to product teams.

Develop and support AI-driven solutions, integrating Azure services and building scalable applications. Collaborate with teams and refine processes using automation and AI technologies.

Lead and manage web services for Tax Information Reporting, build scalable solutions, mentor teams, ensure quality, and implement best practices.

The role requires expert knowledge in Angular, cloud platforms, and unit testing, along with experience in highly transactional applications. Responsibilities include creating responsive designs, implementing APIs, and working in staff Agile teams.

The Senior Data Scientist will design and implement data pipelines, develop models for player engagement, and collaborate with teams to deliver insights and solutions.

Lead the modeling of the Customer Data Platform, defining event taxonomy and ensuring reliable datasets for analytics, product insights, and machine learning. Collaborate with various teams to maintain data consistency and shape the architecture of the behavioral data platform.

The Senior Data Engineer will design and maintain pipelines for event data ingestion and validation, ensuring operational reliability and consistency for analytics.

The Senior Analytics Engineer will develop and maintain dbt models for customer data, ensuring quality, documentation, and analytics standards, while collaborating with product teams.

Design, develop, and deliver high-quality Java microservices; collaborate with clients and cross-functional teams; participate in agile ceremonies; mentor engineers; create scalable, secure, and well-tested enterprise systems from design through deployment.

Support the database operations team by executing SQL commands, managing database users, performing backups, scheduling jobs, and optimizing queries.