Top SQL Jobs in Pune

The SQL Developer will design and optimize SQL queries, collaborate with stakeholders, manage ETL processes, and ensure data quality. Responsibilities also include supporting ad-hoc reporting requests and creating data visualizations.

The role requires a Senior Engineer for ML Ops, focusing on data science, machine learning model development, and the deployment of Generative AI solutions, emphasizing CI/CD, model monitoring, and system integration.

The Hyperion Consultant designs and develops applications in finance and other functional areas, focusing on EPM and Essbase. Responsibilities include financial reporting, application support, and enhancements in Hyperion systems, while collaborating with users and senior stakeholders.

Ensure applications meet standards through thorough testing, documenting results, resolving defects, and coordinating test activities with stakeholders.

The Developer - Data Analytics role involves designing and developing software solutions, collaborating on requirements, ensuring code quality, and managing team performance. The candidate will utilize tools and technologies to drive business and platform capabilities, while adhering to secure coding practices and fostering a culture of technical excellence.

Design and develop software, ensuring high quality and performance. Collaborate with teams, adhere to coding standards, and lead engineering initiatives.

Design and develop software solutions for data analytics. Collaborate with teams, ensure code quality, and influence decision-making processes.

The Lead Analyst will develop and deploy AI models, build predictive models, implement machine learning in production, and assist product managers with model analysis.

The Lead Analyst leads marketing measurement initiatives, mentors a team, conducts econometric analyses, ensures data integrity, and evaluates campaign effectiveness.

The role involves designing and executing testing strategies, developing automated test scripts, collaborating with teams, and improving testing processes to ensure software quality.

The Senior Application Support Analyst monitors technology infrastructure, resolves technical issues, provides system support, and develops support models while ensuring operational efficiency.

The Senior Application Support Analyst monitors and maintains technology infrastructure, resolves complex issues, and leads support initiatives improving service delivery.

The Lead Analyst will develop and deploy machine learning models, implement AI algorithms, and train AI engineers, requiring extensive technical knowledge and experience.

The Lead Analyst develops marketing measurement solutions, mentors a team, evaluates campaign effectiveness, and utilizes cloud platforms to optimize marketing strategies.

The Database Engineer will manage databases, support enterprise data solutions, automate processes, and develop production data pipelines, ensuring high availability and performance.

The role involves designing and executing testing strategies, validating software, collaborating with teams, and improving QA processes, ensuring software quality and functionality.

As a Java Tech Lead-VP, you will design and develop scalable software, manage technology programs, establish best practices, and lead engineering teams to ensure high-quality technology solutions.

The Data Engineer will design and develop software solutions, manage data pipelines, collaborate with cross-functional teams, and ensure code quality and performance.

Lead and manage engineering teams, mentoring members and ensuring high-quality software delivery through collaboration and innovative solutions.

Design, develop, and deliver high-quality software solutions, manage engineering teams, and ensure alignment with business objectives while promoting technical excellence.

Design, build, and execute automated test strategies for API and GUI components, create test scripts and frameworks, perform root cause analysis with developers, collaborate across teams, and drive continuous improvement in testing processes to ensure software quality.

The Data Engineer will support data governance practices by onboarding datasets, maintaining metadata, monitoring data quality, and assisting in engineering tasks like writing SQL queries and using data tools.

The role involves supporting and developing software applications, resolving integration issues, and enhancing automation pipelines in a DevOps setting for financial services.

Join our global DevOps team as a Software Developer. You'll handle application support, monitor data flows, and develop automation solutions, with growth in DevOps and architectural practices.

Analyzes system performance, resolves processing issues, manages technical communications, administers software, and supports business continuity activities.