Top SQL Jobs in Pune

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.

Design, build, and optimize scalable ELT/ETL pipelines on Azure using ADF and Databricks, integrate data into Snowflake, implement Data Vault 2.0 modelling, ensure data quality and performance, and collaborate with stakeholders and analytics teams to maintain production workflows.

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.

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.

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.

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

The role involves developing backend systems, managing cloud infrastructure, collaborating with teams, and ensuring high-quality code delivery.

The Product Software Engineer will develop critical software features using .NET Core and Angular, ensure quality delivery, and collaborate with teams, while mentoring juniors and working in Agile environments.

The Integrations & Data Migration Analyst will scope, design, implement, and test integration solutions, focusing on Salesforce data migration while collaborating with clients and building business value.

Lead engineering teams to deliver high-quality AI solutions, oversee project timelines, mentor team members, optimize processes, and align technical decisions with business objectives.

The Senior Salesforce Developer designs, codes, and implements applications within Salesforce, manages integration and data migration, and supports business applications.

The Principal Software Engineer I develops high-quality software, collaborates with teams, designs production services, and ensures compliance with standards.

The Technical Business Analyst bridges business needs and technical teams, performing requirement analysis, system design, and optimizing data processes, while collaborating in Agile environments.

The Technical Business Analyst bridges business stakeholders and technical teams, gathering requirements and translating them into actionable technical specifications, focusing on ETL workflows and data integration within an Agile environment.

Design and develop scalable full-stack solutions using React, Redux, and Java EE, participate in architectural discussions, and optimize application performance.

Drive data quality processes, investigate and resolve data lineage and control issues, build and automate data pipelines, perform data cleansing and analysis, apply ML/AI techniques, document findings, and partner across functions to improve operations and controls.

The Application Support Analyst monitors and maintains the bank's technology infrastructure, resolves complex technical issues, and improves service delivery. They analyze system logs, automate processes, and manage stakeholder communication.

The Tableau Developer designs and develops high-quality software solutions using Tableau and SQL, focusing on collaboration and technical excellence.

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.

As an Analytics Associate Consultant, you will analyze data sets, extract insights, collaborate with stakeholders, and design custom analytical solutions for clients in the biopharmaceutical industry.

The Consultant - Analytics will analyze data sets, develop models using various tools, build client relationships, and mentor junior associates.

As a Manager in Analytics, lead client projects, develop plans, guide team development, and conduct business development activities in the biopharmaceutical sector.

As a Quality Engineer, you will conduct automated and manual testing, ensuring software reliability through design and analysis, collaborating with various teams, and maintaining test artifacts.