Top SQL Jobs in Pune

Serve as trusted technical advisor for strategic accounts, design and build Databricks-based Lakehouse and GenAI/ML architectures, deliver proofs of concept, collaborate with sales/product/engineering, and support global account implementations and integrations across cloud environments.

Analyze business and operational performance across food delivery, services, and logistics. The role involves querying and validating data, investigating performance trends and root causes, modeling unit economics and profitability, evaluating pricing and promotional impacts, conducting cohort and retention analysis, and translating findings into actionable recommendations for stakeholders.

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 and scale transportation analytics and tooling to optimize network performance and reduce shipping costs. Build dashboards, routing/ship-speed optimizers, chargeback/dispute systems, and cost benchmarking engines. Deliver predictive and real-time KPIs, automate processes, improve data accuracy, and provide fast ad-hoc decision support for cross-functional stakeholders.

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.

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.

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 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, 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.

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.

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, test, deploy, and support scalable, high-performance Java/Spring services for Securities Finance. Contribute to distributed systems, messaging, APIs, and observability; collaborate globally, perform root-cause analysis, code reviews, and improve engineering practices and automation.

Lead design, develop, test, and maintain cloud-native risk platform components on AWS. Build containerized systems (EKS/Docker/Helm), backend services in Python using Boto3, implement IaC and CI/CD, collaborate with architects and stakeholders, and support risk analytics, data modeling, reporting, and production troubleshooting.

Manage and improve GTM reporting and dashboards (Excel, Looker Studio), ensure data quality with Snowflake and Data teams, run ad hoc Salesforce analyses, prepare forecasting and leadership data extracts, document metrics and processes, and automate recurring reports to support Sales, Marketing, and Customer Experience.

Design, build, and maintain production data pipelines and models using Python and SQL. Improve data architectures (Kafka, warehouses, ODS), optimize SQL performance, perform data cleaning and analysis, select data sources, and collaborate with partners to support cloud-based analytics (Snowflake, AWS SageMaker) and workflow tools like Airflow.

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.

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.

Lead test environment and test-data efforts for complex distributed systems. Build/maintain production-like non-PROD environments, implement data masking (Delphix), provision and validate test data (SQL/Oracle/MSSQL), support CI/CD, monitor environment health, and enable end-to-end testing across middleware and microservices.

Provide L1/L2 production support for Xceptor workflows: monitor schedules, troubleshoot incidents, perform root-cause analysis, manage deployments and configuration changes, coordinate with business users, maintain SOPs/knowledge base, participate in on-call rotations, and drive automation and continuous improvement.

Lead QA efforts to design, build and manage production-like non-PROD environments, provision and mask test data, enable end-to-end testing across distributed microservices, monitor environment health, and support CI/CD pipelines while ensuring compliance and data traceability.

Lead trade integration and processing for fund administration: design, implement, test and troubleshoot ETL/integration solutions, ensure SLA-driven transaction processing, resolve trade breaks, drive automation and process improvements, liaise with client/service teams, and support product enhancement projects.

Design, develop, and deliver scalable full-stack software for investment banking; lead technical direction, implement secure coding and testing practices, mentor engineers, collaborate with stakeholders, and improve engineering processes and architecture.

Provide L2 technical support for a multi-tenant AI-powered SaaS platform: diagnose and resolve complex backend, API, data, UI and AI issues; analyze logs and traces; script automation; own tickets end-to-end; build runbooks and knowledge; collaborate with Engineering, Product, QE, and DevOps to remediate systemic issues and improve reliability.

Own the full quote-to-cash revenue cycle, including quotes, invoicing, receivables tracking, collections, discrepancy reconciliation, and billing support. Collaborate with sales and accounting, review SQL reporting outputs, optimize QuickBooks Online and Stripe, and lead system upgrades, automation, and process improvements. The role requires strong accounting expertise, communication, organization, problem-solving, and independent ownership in a remote startup environment.