Top SQL Jobs in Pune

The Senior Customer Services Analyst will oversee a team, troubleshoot system failures, maintain data connectors, support release testing, and ensure process documentation is current.

Lead architecture, design, build, and maintain scalable full-stack systems. Collaborate with cross-functional teams, drive best practices, write clean test-covered code, participate in reviews, troubleshoot issues, and adopt new technologies to improve analytical SaaS solutions.

Design, build, and operate batch and real-time data ingestion and transformation pipelines. Develop platform components (storage, compute, pipelines), monitoring, alerting, and data-quality tooling. Diagnose production issues, participate in on-call rotations, and build AI-powered agents to automate engineering and operational tasks.

Provide L1/L2 production support and manage ticketing, monitoring, releases, deployments and DB/ETL issues. Develop automation, perform application upgrades, onboard new applications, and maintain operational runbooks and SOPs.

As a Senior Data Scientist, you will utilize analytical methods and programming skills to derive insights from data, design solutions, and communicate effectively with stakeholders.

The Technical Customer Support Engineer will assist customers globally through communication channels, provide technical guidance, document solutions, and collaborate with internal teams to improve customer experience.

Lead design and implementation of IDMC-based data integration solutions. Build and optimize ETL/ELT pipelines, integrate SCADA/IoT/ERP/market data, enforce data quality and governance, mentor developers, monitor production pipelines, troubleshoot issues, and evaluate new IDMC features to support analytics and regulatory needs.

Lead end-to-end statistical programming for ADaM datasets and TLFs; implement, validate, and maintain CDISC SDTM/ADaM standards; support regulatory submissions (ISS/ISE) and RTQs; develop reusable macros/functions and metadata specifications; work with RWD, biomarker data, external control arms, survival analysis, and propensity score methods.

Lead insider risk and data loss investigations from triage to closure, operate and tune DLP across environments, build detections and workflows, partner with HR/Legal/Compliance/IT, mature insider risk program, support audits, and mentor others.

Design and build production AI-powered analytics: conversational interfaces, LLM agents, semantic data models, and scalable data pipelines. Partner with Product and Engineering to deploy RAG/MCP-based solutions, integrate AI with enterprise data and cloud platforms, mentor teams, and promote Responsible AI practices to improve decision-making and automation across the company.

Design, implement, and support Customer Data Platform (CDP) solutions and integrations using Snowflake and cloud-native AWS services. Build data models, SQL transformations, identity resolution, audience management, and activation across channels. Collaborate with marketing, business, and technical stakeholders to deliver scalable, secure, high-performance customer data pipelines and campaign activations.

Lead end-to-end customer data integration and migration projects using SQL, ETL, and scripting. Act as technical advisor, design tailored solutions, manage 10–15 projects, document requirements, mentor juniors, and collaborate with government stakeholders and cross-functional teams to improve and automate data workflows.

Manage monthly billing reconciliation and invoice generation across business lines; support month-end close, revenue estimates, expense reporting, audits, and cross-team coordination; analyze large data sets and produce ad-hoc reports to ensure accurate financial reporting.

Design and implement Appian BPM solutions including process design, SAIL UI development, expression rules, integrations (web/SOAP/REST), plugins, CI/CD deployments, debugging, test plans, and database interactions. Ensure role-based access and follow Appian best practices.

Design, implement, and manage Azure infrastructure using IaC; build and maintain CI/CD pipelines; administer and secure Linux servers; automate deployments and configuration management; monitor performance and cost; perform security assessments and compliance; provide production support and documentation; collaborate with development, QA, and operations teams.

Manage structured and unstructured technical product data, build rule-based automation for data accuracy, execute 1–9 month customer implementation projects, collaborate with senior team members, align hours with the Thailand team, and perform data extraction/updates via SQL and integrations (APIs/JSON/XML).

Build and maintain full-stack features for customer and internal web apps, design backend APIs for onboarding and transactions, integrate third-party services, implement OAuth2 authentication, operate in a microservices AWS environment, ensure security, performance, observability, participate in code reviews and architecture, and write technical documentation.

Serve as a senior functional SME for Oracle Cloud and R12 financial modules (O2C, P2P, Projects). Own complex incidents, stakeholder communication, mentoring, configuration, testing, integrations, reporting (OTBI/BI Publisher), SQL-based analysis, quarterly updates/patching, and continuous improvement including AI-led productivity initiatives.

Execute manual functional, regression, integration, and usability tests; create test cases; track defects; perform backend/database validation with SQL; collaborate with developers in Agile; support automation initiatives.

Design, build, and maintain production integrations connecting ShipBob to external e-commerce platforms. Own feature design through implementation, ensure reliability, scalability, and performance, influence architecture, mentor peers, manage technical testing and deployment, and proactively reduce technical debt.

Design, develop, and maintain Power BI dashboards and semantic models using Snowflake as the data warehouse. Build optimized SQL queries, DAX calculations, data models, and reusable datasets; implement RLS and data governance; schedule refreshes, deploy to Power BI Service, monitor and tune report and Snowflake performance, and collaborate with stakeholders to translate requirements.

Develop and maintain backend services and RESTful APIs using Core Java and Spring Boot. Work with PostgreSQL, AWS, CI/CD pipelines (Git, Jenkins), write unit tests (JUnit), apply design patterns and secure coding, participate in code reviews, and collaborate with the team to deliver features.

Design, develop, and maintain enterprise Power BI dashboards, semantic models, and optimized DAX/Power Query solutions. Collaborate with stakeholders and data engineers, validate data from Fabric/Azure platforms, ensure data quality and governance, and support requirements, UAT, and deployments.

Build and own the platform's first recommendation features using collaborative filtering, embeddings, similarity search, and ranking. Handle sparse data and cold-starts, evaluate with offline metrics and online experiments, and partner with backend engineering to serve models and set ML practices.

Design, implement, and maintain front-end and APIs for the Customer Experience Platform. Work on security system management, customer account management, camera diagnostics, and Help Center features. Build and maintain web applications and services within a microservices architecture using Node.js/TypeScript, React, AWS, CI/CD, and SQL/NoSQL databases while collaborating in agile teams.