Top SQL Jobs in Pune

Lead and deliver full-stack .NET web projects, write and maintain code (.NET Core, C#), integrate cloud and web technologies, drive technical decisions, ensure unit testing and CI, collaborate with stakeholders and overseas teams.

The Senior Data Engineer will gather requirements, document business needs, manage projects, drive user acceptance testing, and facilitate agile methodologies within data engineering applications in the banking sector.

The Senior Data Engineer will lead requirements gathering, document business needs, manage projects, drive testing, and improve productivity in data engineering applications.

The Business Technology Solutions Associate will design and implement technology solutions, collaborating with teams to address business problems using methodologies like agile and waterfall.

The role involves monitoring and resolving issues within the EDI environment, supporting operations, and improving business processes related to healthcare data interchange.

The Appian Architect will design and implement AI-driven process automation solutions, focusing on complex workflows and multi-agent orchestration, while providing technical leadership and ensuring compliance with governance standards.

Lead the data engineering team, managing Snowflake infrastructure, optimizing Tableau reporting, developing data strategies, and ensuring data integrity and compliance.

As an Automation Engineer, you'll test and analyze a SaaS-based datacenter monitoring solution, design test cases, and contribute to automation coverage to ensure software quality.

As a Staff Automation Engineer, you'll ensure the quality of software through testing strategies, automation, and mentoring. Responsibilities include designing test cases, managing testing frameworks, and collaborating with development teams to uphold software standards.

The Engineer II will lead testing efforts, coordinate user acceptance testing, develop test plans, troubleshoot issues, and mentor junior engineers.

Lead design, build, and operationalize production ML systems (behavioral/anomaly detection, semantic search/embeddings, graph ML, LLM/hybrid solutions). Own end-to-end delivery, set ML engineering standards, ensure MLOps, monitoring, lifecycle management, mentor engineers, and influence cross-team architecture and product strategy.

As a Business Technology Solutions Associate Consultant at ZS, you will lead data governance projects, manage data catalogs, and collaborate with clients to implement technology solutions for data management.

The Data Engineer will design, develop, and maintain ETL/ELT data pipelines, leveraging PySpark and Databricks to process large datasets, ensuring data quality, reliability, and performance optimization.

Develop advanced statistical models and leverage data analytics to guide decision-making. Communicate results effectively and mentor Associates. Experience in Pharma and real-world data analysis is preferred.

Build, test, and maintain GCP-based data pipelines and ETL/ELT processes using Python and SQL. Optimize BigQuery queries, design data models, ensure data quality, troubleshoot pipeline issues, document solutions, and collaborate with analysts and engineers to deliver scalable data warehouse solutions.

Design, build, and scale Coupa's SaaS platforms, balancing monolithic and microservice architectures. Collaborate with Product and Dev teams to deliver features, design and review implementations, and mentor engineers.

Lead QA automation efforts for a SaaS observability platform: design and execute functional, regression, performance, and automation tests; build and maintain automation frameworks; mentor QA engineers; collaborate with product and dev teams; identify risks and drive continuous improvement.

Lead architecture, design, development and maintenance of cloud-native, secure, scalable microservices and REST APIs for Embedded Insurance across EMEA. Implement Azure-based solutions, containerization, data pipelines, and CI/CD while collaborating with cross-functional teams and stakeholders in an Agile model.

Design, develop, test, document, and maintain Oracle APEX web applications for life sciences. Build secure, performant UI and database code (SQL/PLSQL), support integrations, migrations, CI/CD, containers, and collaborate with DBAs, developers, and testers following SDLC and Agile practices.

Design and implement data solutions by translating business problems into technical designs; lead modules, mentor junior team members, validate architectures, develop ETL/warehouse/reporting solutions, and support project delivery including planning, testing, deployment and client collaboration.

Lead design and implementation of scalable Salesforce solutions, architect integrations and data strategies, provide technical leadership and mentorship, ensure platform performance/security, and align solutions with enterprise architecture and business needs.

The role involves designing, developing, and deploying AI/ML solutions, managing data pipelines, and optimizing AI systems for operational improvements.

The Supply Chain Network Modeler develops and maintains quantitative network models, translating data into insights for strategic decision-making and collaborating with various stakeholders.

The Lead Data Engineer will design and implement data pipelines in Databricks, ensuring data quality and governance while collaborating with internal audit teams.

Lead pre-sales technical efforts with partners and customers to design, demo, and deploy MongoDB-based solutions. Support account teams with discovery, proofs of value, architecture, performance tuning, and partner enablement. Serve as a trusted advisor, translate technical decisions into business value, mentor peers, and represent MongoDB at events and partner engagements.