Top SQL Jobs in Pune

Analyze large structured and unstructured datasets, build and evaluate machine learning and statistical models, perform EDA and hypothesis testing, create visualizations and dashboards, collaborate with product and business teams, and document and improve analytical solutions to drive business decisions.

Develop AI-driven automated tests, tools, utilities, and frameworks for NVIDIA GPU device drivers and SDKs on Windows. Analyze test results, isolate defects, perform root-cause analysis, improve code coverage, validate compatibility across products and interfaces, and support CI/CD testing. The role includes code reviews, test reporting, delivery prioritization, corrective actions, and collaboration with engineering leadership and cross-functional teams. This is a fully onsite position.

Develop AI-driven automated tests, tools, utilities, and frameworks for NVIDIA GPU device drivers and SDKs on Windows. Analyze test results, identify defects, perform root-cause analysis, measure code coverage, validate compatibility across hardware and interfaces, participate in code reviews, and report release readiness. The role also supports CI/CD testing, workflow improvement, corrective actions, task prioritization, and cross-functional collaboration.

Provides strategic, operational, governance, workforce, financial, and administrative support to senior leaders while driving technology and organizational change. The role leads data engineering delivery using Ab Initio, AWS, Hadoop, SQL, Python, DBT, and Databricks, developing scalable data integration and transformation solutions. Responsibilities include risk and compliance oversight, stakeholder coordination, process improvement, resource planning, Agile delivery, and support for business continuity and strategic initiatives.

Build and maintain Workday, Crunchr, and other People-system integrations; create custom Workday reports and calculated fields; automate recurring reporting and data-management processes; perform data extraction, transformation, validation, and delivery; troubleshoot integrations and reporting issues; document processes; and ensure accurate workforce data across systems. Collaborate with HR Technology, People Insights, and global stakeholders while supporting analytics and AI-enabled reporting initiatives.

Designs, builds, and operates secure, scalable cloud data platforms supporting analytics, AI/ML, and enterprise data needs. Develops data pipelines, automation, governance, monitoring, CI/CD, disaster recovery, and cost optimization capabilities. Partners with architects, security teams, data scientists, analysts, and business stakeholders to deliver cloud-based data solutions. Provides technical leadership, evaluates emerging services, establishes engineering best practices, and mentors junior engineers.

Develop scalable Python applications, file-driven data pipelines, REST APIs, data processing workflows, and database solutions. Responsibilities include working with large datasets, optimizing SQL and database performance, implementing secure SFTP and encryption-based data exchanges, integrating enterprise systems, and conducting code reviews, testing, debugging, and performance tuning.

Leads Oncology commercial analytics and brand strategy insights across inline and pipeline assets. Translates business priorities into analytical plans, oversees patient journey and real-world data modeling, supports precision medicine and biomarker initiatives, and applies statistical, machine learning, and AI methods. Manages 15+ team members and cross-functional insights pods while partnering with global, regional, marketing, clinical, medical affairs, and business development stakeholders. Drives scalable analytics, GenAI experimentation, prioritization, value tracking, and executive decision-making.

Designs, develops, tests, and supports Snowflake data pipelines and Python-based integrations across cloud and on-premises sources. Builds SQL transformations, data models, validation and reconciliation processes, monitoring, and automation. Troubleshoots data quality and production issues, supports deployments, documents technical processes, and collaborates with distributed Agile teams. The role also emphasizes secure data handling, governance, cost management, reliability, and continuous improvement.

Develop and maintain custom SQL reports, Yardi Spreadsheet Reporting packages, workflows, allocation rules, KPIs, and correspondence templates. Support Yardi Voyager 7S across investment management, construction, job cost, residential, and commercial property modules. Troubleshoot configurations and data issues, administer databases, ensure data integrity, implement enhancements, and collaborate with vendors on automated integrations.

Lead design, development, and optimization of scalable cloud data platforms and pipelines across AWS/Azure/GCP. Build ETL/ELT processes, data models, and lakehouse/warehouse solutions; implement MDM and governance; support analytics/BI, pre-sales PoCs, mentor junior engineers, and ensure security and cost/performance tuning.

Early-career consulting role supporting digital transformation and AI initiatives. Responsibilities include requirements gathering, business process analysis, documentation (BRDs/FRDs/user stories), coordinating Agile delivery, supporting testing and UAT, preparing basic analytics/dashboards, and working with stakeholders while learning enterprise technologies and consulting practices.

Deliver end-to-end digital transformation and AI-enabled solutions by gathering requirements, designing functional solutions, coordinating cross-functional teams, executing SDLC activities, supporting testing and deployment, and driving business adoption. Use analytics, automation, and AI where applicable and maintain governance, documentation, and continuous improvement.

Lead end-to-end delivery of digital transformation and AI initiatives, establish project governance, manage resources and stakeholders, drive Agile execution, mentor consultants, and ensure on-time, high-quality business outcomes and adoption.

Design, build, test, deploy, and monitor production automations that integrate Python, REST APIs, cloud data stores, and Large Language Models. Implement prompt engineering, structured output parsing, validation, and orchestration; create lightweight React/FastAPI interfaces when needed; follow agile practices, maintain shared libraries and repos, and hand off documented automations to operations teams.

Design, develop, and maintain scalable data processing applications on Hadoop/Spark. Write efficient, documented code, tune Spark/Hadoop jobs, use Python/Scala/SQL/Hive/HQL, collaborate with QA and Ops, and participate in agile ceremonies.

Lead design and development of scalable cloud data platforms and ETL/ELT pipelines across AWS/Azure/GCP. Build and optimize data warehouses/lakehouses, implement MDM and governance, support analytics/BI, mentor junior engineers, and contribute to presales PoCs and solution designs.

Design, develop, and optimize secure, scalable cloud data platforms and ETL/ELT pipelines across AWS, Azure, and GCP. Write Python and SQL, implement data governance and quality controls, optimize performance and costs, and support analytics and BI layers. Contribute to architecture, pre-sales demos, proofs of concept, and client discussions. Mentor junior developers, conduct code reviews, and collaborate with architects, QA, DevOps, and business stakeholders.

As a Technical Architect, lead the development of enterprise solution architectures, design integration solutions, and ensure best practices for Boomi products.

The Technical Architect leads the design and implementation of enterprise solution architectures, focusing on business application and data integration solutions using Boomi's platform.

Designs and develops scalable cloud data platforms and ETL/ELT pipelines using Python and SQL. Optimizes performance and costs, implements governance, security, quality, and compliance controls, and supports analytics consumption. Collaborates with architects and stakeholders, contributes to pre-sales prototypes and demos, mentors junior developers, conducts code reviews, and recommends improvements across AWS, Azure, and GCP environments.

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.

Own advertising performance for a portfolio of marketplace accounts across strategy, targets, partner relationships, and outcomes. Manage Amazon Ads, Amazon DSP, and Amazon Marketing Cloud campaigns; translate data into commercial decisions; proactively identify risks and optimization opportunities; lead partner conversations; manage budgets; and support team targets. The role also includes mentoring or line management, performance reporting narratives, and autonomous account ownership.

Designs, develops, tests, and improves scalable software solutions involving data automation and AI. Responsibilities include building generative AI and machine learning capabilities, developing APIs, integrating cloud services, applying secure coding and CI/CD practices, and contributing to model development and deployment. The role collaborates with product managers, designers, engineers, and stakeholders, participates in code reviews, supports technical excellence, and may advise teams or lead colleagues in delivering reliable technology solutions.

Build and maintain scalable data architectures, ETL/ELT pipelines, data warehouses, and data lakes. Develop ingestion and transformation frameworks, data quality monitoring, CI/CD deployments, and performance optimization solutions. Ensure data security, compliance, documentation, and operational reliability while collaborating with data scientists and analysts to support machine learning and business needs. The role also involves advising stakeholders, managing risk and controls, influencing policy, and potentially leading and coaching a team.