Top SQL Jobs in Pune

The Market Data Enablement Manager will lead trade automation projects, enhance operational efficiency, integrate trade data, and mentor cross-functional teams within fund administration and technology.

Manage the operational lifecycle of the Flight Plan for e-commerce clients ensuring proper setup, maintenance, and actionable insights from the infrastructure.

The Skills Developer at Aera Technology will create data analytics models, develop data processing code, and handle ETL processes to support cognitive applications, ensuring efficient data management for clients.

Responsible for planning, securing, and managing databases, ensuring data integrity, performance monitoring, and providing technical mentorship to less experienced DBAs.

The Principal Consultant will design and implement data warehouse and BI solutions, integrating data from various sources, and lead client engagement throughout the process.

As a Senior Developer, you will design and support application and data integration processes using Oracle and Dell Boomi, lead implementation projects, and collaborate on data migration requirements.

Design, develop, and deploy production ML models; build feature pipelines; run experiments and A/B tests; monitor and maintain models; collaborate with engineers, product, and executives; mentor junior engineers and document models and processes.

As a Marketing Analyst, you will analyze marketing data, provide insights, and create reports and dashboards to optimize marketing efforts across various channels and products.

The Forward Deployment Engineer will build AI agents, automate workflows, lead enterprise onboarding, create BI reports, and collaborate with other teams to enhance customer success.

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.

Design, build, and maintain scalable batch and real-time data pipelines on Azure using Kafka, Spark, Databricks and ADF. Optimize Snowflake models and SQL, process structured and semi-structured data, ensure data quality, performance, and collaborate with cross-functional teams.

Prepare, clean, and validate structured and unstructured data for LLM-driven systems; build training datasets, support RAG and NL->SQL pipelines, perform data quality checks, and assist in data pipelines/APIs and model evaluation.

Lead design and implementation of automated and chaos-style tests for distributed databases. Architect scalable test frameworks, execute stress/resiliency/performance suites, debug deep data-consistency issues, modernize CI/CD test pipelines, and mentor junior engineers while influencing product quality and feature design.

The role involves designing, developing, and maintaining backend services for an Identity Security Platform, collaborating with cross-functional teams, and optimizing performance and security.

The Senior Software Engineer will design, develop, and support innovative solutions, collaborating with teams, analyzing requirements, and ensuring application performance in an agile environment.

Lead sales operations and incentive compensation strategies for business growth, enhance performance through analytics, and manage stakeholder relationships.

The Transaction Management Associate will handle operational input on loan transactions, facilitate re-underwriting, closings, and post-closing activities, while ensuring compliance and communication with involved parties.

The Test Automation Engineer will design and implement automated testing frameworks, validate software functionality, and collaborate with teams to improve quality and performance.

Seeking a Full Stack Developer to design, develop, and improve software, ensuring high-quality delivery through collaboration and secure coding practices.

The Implementation Consultant will work with customers to implement incentive compensation management solutions, gather requirements, design systems, and support go-live processes.

Lead a team of ETL engineers, design ETL processes using SSIS and Azure Data Factory, develop data warehouse solutions, and ensure data quality.

The role involves analyzing user stories, developing test models, executing automated tests, and participating in sprint planning and reviews in a collaborative Agile environment.

Design, develop, and enhance backend services using Java and Spring Boot. Collaborate across teams, mentor junior engineers, and ensure high code quality.

The Data Engineer is responsible for building and maintaining systems for data collection, processing, and analysis, as well as collaborating with teams to ensure data accuracy and security.

The Software Engineer designs, develops, and improves software, ensuring high-quality solutions through collaboration, secure coding practices, and effective testing.