Top SQL Jobs in Pune

The role involves leading a team in data engineering and product management, overseeing backlog prioritization, and ensuring effective data pipeline design and implementation, collaborating with cross-functional stakeholders for project success.

The Senior Analyst in Revenue Operations will analyze datasets, provide insights, and partner with teams to enhance growth and improve decision-making in sales.

The Senior User Acquisition Specialist will expand user base through data analysis, optimize paid campaigns, improve organic visibility, and support global insights.

As a Data Engineer, you will implement data pipelines and analytics to support decision-making using AWS technologies and Machine Learning.

The SDE II will design, develop, and enhance features in SingleView applications, analyze business requirements, write maintainable code, perform testing, and collaborate with teams while providing technical guidance.

The role involves quality control in IT with responsibilities in automated and manual testing, stakeholder management, and collaboration with cross-functional teams.

This role involves testing and quality assurance in IT, requiring experience with SQL, automated testing tools, and collaboration with teams for software lifecycle quality.

The Phone Numbers Operations Specialist 2 will manage phone number operations, assist customers with porting numbers, and address inquiries through effective communication and technical problem-solving.

Design, develop, and manage data pipelines and architectures for analytics and machine learning, collaborating across teams while establishing DataOps practices.

Lead design and optimization of data pipelines, mentor engineers, ensure data quality, collaborate with teams, and drive improvements in data architecture.

As a Senior Software Engineer, you will design, develop, and maintain web applications, mentor junior developers, and handle complex software challenges in an Agile team environment.

The Senior AI/ML Engineer focuses on developing digital twin simulations and optimization models to enhance warehouse logistics and operational efficiency.

The Data Scientist will design, implement, and deploy machine learning algorithms, build APIs, and visualize data insights as part of an agile team.

The GCP Engineer will design, build, and operate scalable analytics platforms using Google Cloud, ensuring implementation aligns with innovation strategies and collaborates globally to solve technical challenges.

The Data Annotator will be responsible for annotating data, ensuring quality, collaborating with teams, and maintaining records while meeting deadlines.

Design, build, and operationalize large-scale data solutions on Google Cloud Platform, optimizing data pipelines for performance and cost with tools like Python and SQL.

The Sr. Data Engineer designs and operates large-scale data solutions on GCP, optimizing data pipelines, mentoring team members, and providing insights for business decisions.

Design and implement data solutions on GCP for SAS Revenue Management, optimizing pipelines and providing insights for customer engagement.

The Data Engineer will design and operationalize data solutions using GCP, build data pipelines, optimize performance, and mentor junior team members.

The role involves designing, developing, and maintaining applications using Python and SQL, while collaborating with teams to optimize performance and implement best practices.

The Engineer, IT Quality Control is responsible for performance testing, analyzing compliance, conducting audits, and providing recommendations for system performance improvements.

The role involves building software solutions, applying data structures and algorithms, and promoting collaboration within a team to achieve business goals.

The role involves validating Guidewire PolicyCenter functionalities, conducting system integration testing, managing defects, and collaborating in Agile teams.

Develop and maintain scalable software solutions for the mortgage industry, collaborating with cross-functional teams and shaping engineering strategies.

As a Data Scientist, you will analyze complex datasets using statistical methods and machine learning, develop ML models, and collaborate with stakeholders to drive business decisions based on data insights.