Top SQL Jobs in Pune

Lead and execute customer engagement campaigns using Salesforce Marketing Cloud. Build journeys, automations, and email/mobile content; implement AMPscript/SSJS/SQL/HTML/CSS/JS; integrate with Salesforce CRM and APIs; leverage Data Cloud and AI capabilities to enable intelligent, event-driven customer journeys.

Lead design and implementation of scalable Braze solutions, build and configure campaigns, optimize data models and audience segmentation, integrate external data sources via APIs/FTP, perform SQL development and troubleshooting, conduct code reviews, mentor junior developers, and provide marketing automation best practices and stakeholder-facing technical guidance.

Design, build, and maintain custom no-code mobile and web applications using Google AppSheet. Integrate data sources (Sheets, Excel, SQL, BigQuery), automate workflows, create dashboards, troubleshoot and optimize apps, gather requirements from stakeholders, produce documentation, and train/support end users.

Lead design and implementation of scalable Braze solutions. Develop and optimize data models, audience segmentation, and automation strategies. Build and configure campaigns, troubleshoot Braze issues, integrate data via REST/SOAP APIs and FTP, write and debug SQL, conduct code reviews, mentor junior developers, and advise stakeholders on best practices.

Support global trade compliance and shipment processing, prepare and maintain compliance documentation, build and automate supply chain reports and dashboards with Power BI and Excel, analyze supplier and sourcing performance, ensure data quality and governance, and provide data-driven insights to support strategic planning and continuous improvement.

The Senior Data Scientist will engineer Zoom's Revenue Intelligence Engine, developing scalable systems for lead scoring and churn prediction while collaborating with various teams to provide data-driven insights.

Design, build, maintain, and optimize ETL/ELT data pipelines and data warehouses. Troubleshoot production issues, write and optimize complex SQL, implement data security, monitor storage/processing, support cross-functional teams, and apply data science and AI/ML familiarity to data engineering solutions.

Owns the test strategy and quality assurance delivery for Navis Mixed Cargo Terminal Operating System implementations. Leads risk-based planning, functional and integration testing, operational acceptance, data migration validation, performance testing, automation, API validation, defect management, reporting, and cutover readiness. Coordinates distributed QA and offshore teams, partners with business and technical stakeholders, supports user acceptance testing, mentors QA staff, and drives successful production go-live.

Senior Business Analyst for Capital Markets Report Hub: elicit, document and validate business requirements; create and own Jira user stories and acceptance criteria; engage clients and engineering; support delivery, functional testing, process modelling, and client handover; ensure regulatory reporting requirements are addressed.

Provide L2 technical support for the inSPire platform: investigate escalations, write and manage defect tickets, coordinate change approvals, perform API and data forensics, maintain demo/test environments, and communicate status to stakeholders while working with product and engineering teams.

Senior Java Developer responsible for designing and implementing microservices-based backend systems using Java, Spring Boot, Hibernate, REST APIs, and SQL. Must write scripts, produce clean code, and collaborate with stakeholders to deliver production-ready services.

Senior Data Engineer responsible for designing and tuning complex SQL, building ETL/ELT pipelines, querying data lakes with Spark SQL/Trino/Presto, implementing materialized views, partitioning and vacuuming, and developing ACID-compliant Delta Lake tables in Parquet. Requires deep transactional, normalization/denormalization, and query optimization expertise and 10+ years experience with effective English communication.

Design, build, and operate scalable Snowflake-based data platforms and ELT pipelines ingesting from relational, NoSQL, and streaming sources. Own Snowflake administration, cost governance, security, data modelling, observability, and Trino analytics layer. Collaborate with product and business teams to deliver tested, documented datasets and ensure compliance with PII and regulatory requirements.

Senior Business/Data Analyst responsible for profiling source and target data models, creating source-to-target mappings, extracting and validating data, and supporting SAP ECC, HANA, Ariba, and Salesforce datasets. Works with supply chain data, collaborates with cross-functional teams to resolve data issues, documents business rules and validation, and provides 2–3 hours overlap with onshore teams for global coordination.

Design, develop, and maintain credit scoring and real-time decisioning models using machine learning and alternative data. Validate models via A/B and back testing, integrate into production, monitor performance, and ensure regulatory compliance while collaborating with engineering and product teams.

Execute manual and functional testing for web applications, create and run test cases and regression suites, log and track defects, validate UI and backend using SQL, assist with test planning and documentation, support UAT and sprint ceremonies, and optionally contribute to basic automation using Selenium or API tools like Postman.

Build and maintain responsive React.js web applications, integrate with backend APIs and databases, optimize performance, ensure cross-browser and mobile compatibility, collaborate with designers, follow frontend architecture best practices, deploy and manage apps on AWS, participate in code reviews and mentor junior developers.

Design, build, and deploy ML and GenAI solutions including LLMs and RAG pipelines. Perform NLP, predictive modeling, POCs, and integrate models into fintech products using Python, SQL, and AWS.

Design, build, and optimize scalable Snowflake data models and pipelines. Develop dbt transformations, orchestrate workflows with Airflow, write advanced SQL, ensure data quality and performance, collaborate with analytics teams, and maintain documentation.

Design, develop, and maintain scalable AWS-based data pipelines and infrastructure. Build and optimize data warehouses and distributed query engines, implement ETL/ELT with tools like NiFi/Airflow/Airbyte and PySpark/Flint, ensure data quality, performance tuning, BI dashboards, troubleshooting, documentation, and mentoring junior engineers.

Collect, analyze, and interpret large datasets to produce actionable insights. Build complex SQL queries and Excel-based reports, automate reporting, perform data transformations, monitor transaction flows for anomalies/fraud, and collaborate with cross-functional teams to ensure data accuracy and support business decisions.

Design, develop, and execute manual and automated tests for React frontends and FastAPI/Python backends. Validate REST APIs, databases, and medical imaging workflows (DICOM/HL7). Perform functional, regression, integration, and performance testing, integrate tests into CI/CD, document QA artifacts, and support compliance and audit activities while collaborating with engineering and clinical stakeholders.

Provide L2/L3 production support and DevOps for banking/financial applications. Manage CI/CD, Azure cloud, Kubernetes, Kafka, monitoring (Dynatrace), job scheduling (Control-M), incident management via ServiceNow, and collaborate on automation (Terraform) and database troubleshooting (SQL/Snowflake).

Develop and maintain data architectures, pipelines, warehouses and lakes; design processing and analysis algorithms; integrate systems (REST/SOAP); collaborate with data scientists on ML deployments; lead or mentor team members and ensure secure, performant solutions delivered in Agile projects.

Designs, builds and maintains data pipelines, warehouses and lakes; implements processing algorithms; collaborates with data scientists to deploy ML models; leads/supervises teams and ensures data quality, security and compliance.