Top SQL Jobs in Pune

Design and develop cloud server-side solutions, focusing on distributed systems, while mentoring team members and ensuring high quality through testing and code reviews.

Lead the design, implementation, and deployment of machine learning algorithms, ensuring high-quality code and adaptability in a dynamic environment.

Lead modernization projects, developing core Java or C# libraries, conducting testing, and mentoring junior team members in a client-facing role.

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.

Develop and enhance backend solutions, adhere to SDLC, conduct code reviews, create unit tests, and provide production support.

The Domain Architect leads product design in telecom architecture, defines standards, prepares designs, and engages with customers and vendors.

The Domain Architect will design telecom products, define standards, prepare designs, conduct technical discussions, and ensure application performance in the telecom domain.

The Senior Specialist will manage Geneva support, handle fund migrations, resolve operational issues, create documentation, and lead teams.

The Informatica Developer designs and develops data integration solutions using Informatica tools, facilitates migration efforts, collaborates with teams to meet data requirements, and optimizes ETL processes in a cloud environment.

Lead product development teams across the SDLC, implement engineering best practices, drive architecture and deployments, manage scrum teams, integrate AI efficiencies, and align product strategy with business objectives.

The Sr Technical Consultant will lead data and permission migration projects, act as a liaison for troubleshooting, and communicate with customers and internal teams.

The Software Engineer will develop scalable cloud and on-premise solutions, improve performance, integrate diverse systems, and analyze complex problems in a global team setting.

The Marketing Operations Manager will analyze marketing performance, optimize campaigns and channels, manage data tools, and provide insights to align marketing with sales and customer success.

Lead the Data and AI Engineering Studio, overseeing technical vision, mentoring teams, delivering solutions, and engaging in business development and innovation.

The GCP Data Engineer will design, develop, and maintain data pipelines on GCP, utilize Python and SQL, and support advanced data analytics. Responsibilities include API integration, developing AI pipelines, and managing data workloads effectively.

Design and maintain data pipelines on GCP, optimize SQL queries, build AI systems, and operationalize applications while supporting integrations and troubleshooting.

As a Data Analyst, you will produce data products for institutional investors, using analytical skills and programming in Python and SQL to derive insights from large datasets.

As a Data Annotator, you will annotate and label various data types, ensuring quality and consistency, while collaborating with the data science team and adhering to deadlines.

As a Full Stack Developer, you will design, develop, and maintain software solutions, collaborate with teams, conduct testing, and mentor junior developers.

Design and build data infrastructure and architecture, optimize data processes, implement ELT applications, and develop high-quality data pipelines for clients.

As a Technical Pre-Sales Specialist, you will lead technical discovery, configure demos, and collaborate with teams to translate customer challenges into AI-driven solutions.

The AI Engineer will build and optimize AI/ML models, integrate them with existing systems, manage model lifecycles, and ensure ethical AI practices.

Develop Salesforce integrations and oversee website administration. Responsibilities include coding, testing, automating processes, and providing technical support. Requires collaboration with team members and adherence to coding standards.

The Senior Salesforce Engineer will develop Salesforce integrations, mentor junior engineers, and oversee software solutions and testing processes. Responsibilities include coding, testing, and implementing applications.

As a Data QA Associate, you'll manage data cleaning and quality assurance processes, transforming receipt data into business insights, collaborating with remote teams, and ensuring data consistency and quality.