Top SQL Jobs in Pune

Own end-to-end delivery of software-engineering data programs, including scope, timelines, quality, throughput, cost, contributor performance, and customer reporting. Coordinate hundreds of distributed engineers, optimize annotation and evaluation workflows, analyze quality data, build automation and reusable playbooks, and serve as the primary client contact for AI research organizations. The role requires technical fluency sufficient to inspect code, tests, workflows, and evaluation results while leading large-scale operational execution.

Monitor and validate market data deliveries, batch processes, and feeds for SaaS clients. Troubleshoot data quality and technical issues, manage incidents, coordinate releases and production patches, and support API-related client queries. Develop standard operating procedures, automate manual checks using Python, engage vendors, and lead post-mortem and root-cause analysis activities. The role requires financial markets knowledge, especially derivatives and multiple asset classes, along with Excel, SQL, troubleshooting, and communication skills.

Leads data science and machine learning architecture engagements, analyzing diverse datasets and deploying models using cloud and big data technologies. Designs scalable, cost-effective solutions, including generative AI applications, and provides technical leadership across client delivery and presales activities. Creates standards, accelerators, reports, and presentations; mentors junior staff; and communicates technical concepts to business stakeholders.

Develop scalable network management software for optical and transport networks. Responsibilities include full software development lifecycle work, building microservices, integrating open-source software, participating in code reviews and design discussions, improving architecture and development processes, documenting solutions, troubleshooting defects, optimizing performance, and applying AI-assisted development tools.

Own product strategy and end-to-end delivery for servicing and payment experiences. Improve repayment success, payer rates, delinquency prevention, member trust, and repeat engagement through customer insights, data analysis, experimentation, and measurable roadmaps. Partner cross-functionally with engineering, design, data, operations, risk, compliance, legal, finance, and other stakeholders to deliver scalable solutions and communicate business impact.

Develop and maintain Informatica MDM SaaS solutions using CAI and CDI. Implement architectures designed by technical leads, orchestrate and optimize APIs, write and tune SQL queries, collaborate with clients and internal teams, and independently deliver scalable, maintainable solutions with minimal supervision.

Design, build, and maintain Power BI dashboards and MI reports to monitor ITSM processes and service availability. Drive process workflow modelling, knowledge management, automation/AI initiatives, stakeholder engagement, and continual improvement to meet SLAs and quality standards.

Implement and optimize AI-enabled Contract Lifecycle Management solutions for enterprise customers. Lead implementations from discovery to deployment, configure workflows/templates, support data migration, develop and optimize AI prompts for contract analysis, and provide technical consulting, training, and stakeholder collaboration to ensure successful adoption and continuous improvement.

Design, deploy, and maintain AWS and Databricks data infrastructure, data lakes, and scalable ETL pipelines. Build custom ingestion services and connectors using Airbyte, Go, and Python; optimize performance, reliability, monitoring, and data quality. Implement cloud data governance, security, access controls, encryption, and compliance practices while collaborating with platform engineers, analysts, and stakeholders.

Leads complex government SaaS implementations from kickoff through go-live, including requirements validation, platform configuration, testing, database schema mapping, ETL, scripting, data migration, reconciliation, and customer enablement. Serves as the primary technical advisor to government stakeholders, reviews team configurations and data, improves implementation standards and tooling, and collaborates with project management, customer success, data integration, and product teams.

Designs and operates end-to-end data products on Databricks, including ingestion, transformation, streaming pipelines, APIs, applications, and curated datasets. Partners with stakeholders to clarify needs, prototype solutions, and deliver secure, scalable production systems. Responsibilities include data governance, testing, CI/CD, monitoring, optimization, troubleshooting, technical design, code reviews, and mentoring. The role requires strong SQL, Python, PySpark, cloud, event-streaming, backend, and data-modeling expertise.

Own QA execution for an implementation team through manual, automated, API, functional, regression, integration, exploratory, and end-to-end testing. Develop UI automation with C#, Selenium, and xUnit; perform API testing with Postman and Newman; investigate defects using SQL, logs, browser tools, and cloud environments; maintain QA documentation in Azure DevOps; support releases; and mentor QA engineers while improving testing processes and coverage.

Own carrier COGS accounting, including contract reviews, accruals, journal entries, reconciliations, month-end close, variance analysis, anomaly detection, SOX controls, audit support, and process automation. Partner with Carrier Operations and leadership to improve data integrity, explain financial drivers, and develop systematic solutions using AI and automation tools.

Design, build, and maintain enterprise ETL/ELT pipelines in Microsoft Fabric; ingest and transform data from diverse sources into dimensional star schemas; optimize performance and cost; implement data quality checks and monitoring; document architecture and pipelines; collaborate with analysts, stakeholders, and global engineering teams to deliver Power BI-ready analytics datasets.

Lead design, development, and maintenance of secure, scalable server-side software. Provide technical leadership, mentor engineers, drive architecture and automation, conduct code reviews, document designs, and collaborate with senior stakeholders and customers to deliver PLM-related solutions.

Design and develop scalable Snowflake-based data solutions, data models, schemas and ETL/ELT pipelines. Optimize performance, enforce data security/governance, lead design reviews, collaborate with global stakeholders, and provide technical guidance to engineering teams in an Agile environment.

Perform daily market trading risk oversight for FX and derivatives: VaR, position monitoring, stress testing, P&L attribution, regulatory reporting, model interpretation, and stakeholder reporting. Develop analytics, maintain controls and documentation, support audit/remediation, collaborate with IT to integrate risk models, and provide ad-hoc risk analysis.

Partner with founders and leadership to turn internal data, market research, and competitive analysis into strategic decisions. Own analytics from raw data through recommendations, identify growth and margin opportunities, build financial and business cases, and launch initiatives that improve efficiency, unit economics, and profitability. Drive strategic projects end-to-end while measuring progress against business outcomes.

Design and run data pipelines and ML/AI models to generate cyber threat intelligence. Build dashboards, APIs and integrations, normalise and enrich security data, maintain provenance and governance, and enable automation and safe GenAI adoption to support CTI and SOC stakeholders.

Designs, builds, and maintains ETL/ELT pipelines feeding Microsoft Fabric Lakehouse platforms. Responsibilities include data ingestion, bronze/silver/gold layer development, CDC, incremental loading, data quality, metadata governance, performance tuning, monitoring, automation, and low-level design documentation. The role collaborates with architects, data modelers, and business analysts to deliver reliable, reusable datasets and promote self-service analytics while applying security, resilience, compliance, and cost-optimization standards.

Partners with founders and leadership to turn data into strategic decisions affecting growth, margins, and profitability. Owns analytics from raw data through recommendations, conducts market and competitive analysis, builds business cases, and leads strategic initiatives end-to-end. The role identifies efficiency and monetization opportunities, develops financial models, measures business outcomes, and supports cross-functional decision-making.

Serve as a techno-functional business analyst: gather and translate requirements, design functional specifications, support integrations and data flows (APIs, databases, cloud), collaborate with architects and developers, support UAT and deployment, and drive process improvements and change management for digital transformation initiatives.

Develop and maintain Oracle Integration Cloud (OIC) integrations and BI Publisher (BIP) reports for Oracle ERP. Design custom reports and documents, support testing, deployments, and resolve production issues.

The Application Support Analyst will handle support and configuration of core business applications, troubleshoot service desk tickets, and coordinate new releases. Responsibilities also include liaising with teams, creating documentation, and providing audit support.

Design, build, automate, monitor, and maintain reliable, scalable, and secure infrastructure platforms (on-prem and cloud). Respond to incidents, implement secure configurations, support mainframe modernization, collaborate cross-functionally, and perform system administration and scripting tasks.