Top SQL Jobs in Pune

As a Data Engineer, you will enhance data pipelines, support ML workflows, and improve cloud infrastructure on Azure and AWS, collaborating with Scientists and Engineers to turn data into actionable insights.

The Business Analyst will analyze complex datasets using SQL, create visualizations in Tableau, and utilize R and Python for statistical modeling to support business strategies.

Lead initiatives to drive significant revenue growth while owning customer pipelines and ensuring data quality and operational efficiency. Manage teams and collaborate with stakeholders across various departments for project advancements.

The Sr IT Analyst configures and supports SAP Concur, provides second-level support for users, manages data integration, develops reports, ensures compliance, and supports project management for implementations and upgrades.

The Learning Designer at Coursera develops asynchronous online learning content, collaborating with SMEs and vendors to ensure high-quality educational experiences through innovative design and assessment methods.

The Program Manager will enhance Sprinto's customer journey by managing deployment projects, leading cross-functional initiatives, and improving customer lifecycle processes through data-driven insights and stakeholder management.

The Senior Data Engineer - II will design data pipelines, optimize ETL workflows, manage databases, and support Power BI reporting for business decisions.

As a Software Development Engineer, you will implement and optimize data systems, maintain frameworks, and ensure operational reliability of the platform's data infrastructure.

The Solutions Engineer will support direct sales cycles, providing technical expertise and tailored solutions for customers, while collaborating closely with Sales, Product, and Engineering teams.

Lead delivery of data and digital consulting services: define deliverables, engage senior stakeholders, manage small teams, design scalable data pipelines, implement dashboards and analytics, ensure data quality and governance, and drive digital transformation using cloud, BI, and automation tools.

Triage and resolve Master Data Management (Party, Risk, Reference) issues in Stibo STEP, run targeted data-cleansing sprints, monitor data quality dashboards, support releases/UAT, and maintain documentation and playbooks to prevent recurring data issues.

Design, develop, and maintain scalable web applications using .NET backend and Angular/React frontend. Collaborate on requirements, implement RESTful APIs, optimize performance, debug, maintain documentation, support end-users, and work within CI/CD and DevOps workflows.

Design, execute, and maintain manual and automated tests across web, API, and database layers. Shift-left testing, validate integrations and business rules, manage defects, contribute to CI/CD QA gates, and build test documentation and dashboards while collaborating with cross-functional teams.

Create and own technical content (blogs, tutorials, demos, video) for Altimate Code. Generate ideas tied to the modern data stack, deeply test the product, support SEO/AEO, build editorial workflows, and distribute content across developer channels.

Lead marketing analytics for international PPC campaigns by analyzing large datasets, building SQL-based dashboards in Power BI, designing A/B and multivariate tests, applying segmentation and predictive models, leveraging AI tools to create ad assets, and partnering with cross-functional teams to optimize Google Search and Display performance and improve ROI.

Provide advanced enterprise Microsoft 365 support and administration, resolve escalated technical issues, design and implement permanent solutions, lead projects, produce reports, train users, and contribute to process improvements and documentation.

Manage customer shipment billing and order data: assign billing groups/facilities, research unmatched transactions and exception lines, resolve root causes, develop solutions, and support invoicing. Work collaboratively in a finance/controls environment, follow SOPs, participate in billing meetings, coach peers, and handle high-volume transactional tasks using multiple systems (TMS, Salesforce, SAP).

Design and implement Python-based automated UI and API tests using Selenium, Pytest, Rest Assured or Postman. Validate data with SQL, maintain test environments, collaborate with development and QA, analyze results, and report defects to ensure high-quality deliveries.

Develop, test, debug and maintain web and mobile fintech applications. Work in an Agile environment with cross-functional teams, manage time-sensitive deliverables, provide technical support, and improve user experience while reporting to IT leads and the CTO.

Deploy and productionize ML models on GCP Vertex AI for real-time and batch inference. Build scalable pipelines, perform feature engineering, monitor model performance and drift, support ML-Ops and governance, and collaborate with teams on retail banking (credit risk, marketing, customer service) use cases.

Design, build, and maintain scalable web applications using the MERN stack and Next.js. Collaborate with cross-functional teams and designers to implement UI/UX, create reusable components, optimize performance across devices, manage and improve codebases, work with SQL databases, integrate RESTful APIs, and troubleshoot complex issues.

Lead design and delivery of NLP and Generative AI solutions, from problem definition through deployment. Build and fine-tune transformers and LLMs for summarization, QA, classification and chatbots, apply classical and deep learning methods, ensure scalable reproducible ML workflows in cloud environments, mentor junior data scientists, and collaborate with product and engineering to translate business problems into AI solutions.

Develop and maintain Python backend components, design and optimize SQL for large datasets, perform ETL, integrate front-end and third-party services, troubleshoot applications and databases, ensure data quality and security, participate in code reviews, and produce technical documentation.

Design and implement AI/LLM-driven data extraction and ETL pipelines, build web crawling and API integrations, implement RAG systems, mitigate LLM hallucinations, evaluate third-party tools, and collaborate with content and analytics teams to deliver high-quality, scalable data for downstream analysis.

Design and implement scalable cloud-native data and analytics platforms (AWS/Azure) using Databricks, Snowflake, SQL, Python/PySpark. Build ingestion, ETL/ELT, orchestration, integration, and reporting pipelines. Support data modeling, analytics-ready structures, BI tools, CI/CD, deployments, production support, incident management, and AI/ML-enabled analytics. Collaborate with architects, stakeholders, and engineering teams to drive standards, governance, and operational excellence.