Top SQL Jobs in Pune

The Senior Data Analyst will define source data, create data mapping, report inconsistencies, assist with data migration, and manage stakeholder expectations while delivering insights in financial services.

The Technical Architect will lead the development of enterprise solution architectures, working with clients to design and implement complex integration solutions.

As an Applied AI Engineer, you will design intelligent systems, develop chat-based UIs, and work on AI workflows using LLMs and orchestration tools.

The Data Governance Analyst II develops standards, applies policies, manages metadata, supports data governance issues, and collaborates across teams.

The Data Modeler I translates business requirements into scalable data models, ensuring data integrity and applying best practices for analytics solutions in both on-prem and cloud environments.

The Data Engineer III develops and implements data engineering solutions, performs complex data analysis, and manages data systems while collaborating with teams to enhance healthcare data efficiency.

The Analyst III - Data will lead design and support for data analytics projects, manage BI solutions, and build data pipelines, ensuring data integrity and providing business insights.

The role involves developing full stack applications using Java and Angular, working on API development, and participating in Agile methodologies.

As a Development Engineer 3, you will design and develop high-performance workflows and troubleshoot systems while collaborating across teams.

The Senior Analyst in People Analytics focuses on data analysis, reporting, and visualization to support HR initiatives and improve workforce planning. Key responsibilities include creating dashboards, conducting data quality checks, and providing actionable insights for decision-making.

The Senior Analyst will analyze HR data, develop reports and dashboards, provide insights, and support workforce planning for HR stakeholders.

The Administrator III will manage Alteryx Server, ensure effective data workflows, handle user permissions, and provide on-call support, focusing on optimizing data accessibility and quality for business analytics.

Lead design, configuration, integration, and support of SAP SD/S4HANA solutions. Analyze business requirements, implement improvements, mentor junior staff, resolve escalations, maintain documentation, and coordinate cross-functional project delivery.

Develop software strategies, define architecture standards, and advise on technology integration and governance for enterprise solutions.

Designs and develops data management solutions and pipelines using cloud/on-prem tools (Azure, Databricks, Synapse). Performs data profiling, modeling, analytics, automates data quality improvements, and collaborates with stakeholders to translate business needs into data solutions.

Lead design, development, and support of complex data analytics and visualization solutions. Build web-based dashboards, develop data pipelines, ensure reporting consistency, perform advanced SQL and analytics on large datasets, support financial reporting and profitability analysis (SAP FICO/COPA), create technical documentation, and provide technical leadership and cross-functional collaboration to drive data-informed decisions.

Responsible for managing fleet management products, creating data-backed roadmaps, collaborating with various teams, and ensuring customer feedback is integrated.

As an ML Engineer, you will design, experiment, and deploy AI/ML models, evaluate their performance, and leverage Python and SQL.

The Backend Developer role focuses on building and optimizing data systems using advanced Python, SQL, and cloud technologies. Responsibilities include ETL automation, debugging data pipelines, and implementing DevOps practices.

The role involves managing collateral in investment banking, understanding trade lifecycles, and implementing change in financial products. Requires strong analytical skills and expertise in collateral management processes alongside leadership and communication abilities.

Lead automation testing: design and implement Java-based automation frameworks (Selenium, TestNG, JUnit, Cucumber), create test plans/cases/suites, perform API and database validation using SQL, debug issues from logs, report and prioritize defects, and collaborate with Agile teams to define testing approach and risks.

The Lead Tableau Developer will design and maintain Tableau dashboards, collaborate with users to understand data needs, and ensure data accuracy and integrity.

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.

Manage the enterprise product catalog ensuring data accuracy and governance. Lead a team, enhance products using data insights, and support digital platforms.