Top SQL Jobs in Pune

Develop and operate backend software in a cross-functional product team, contributing throughout the engineering lifecycle from design and coding through testing, deployment, and support. Build scalable microservices and maintain high standards for code quality, security, and performance. Required experience includes Java, Spring, GCP, Terraform, Docker, Kubernetes, PostgreSQL, Cassandra, and automated testing and deployments. Collaborate with engineers and clients to solve complex technical and business problems.

Leads the Compliance division’s data analytics and AI strategy, overseeing data scientists, ML engineers, and analytics professionals. Develops production-grade machine learning, NLP, generative AI, predictive analytics, and risk-monitoring solutions across financial services. Establishes model risk, responsible AI, governance, and regulatory compliance frameworks while guiding cloud migration, data platforms, BI reporting, and MLOps. Partners with senior Compliance, Technology, and business stakeholders and builds a high-performing multidisciplinary team.

Develop and deliver scalable, secure full-stack software solutions using Java, Spring Boot, microservices, databases, and DevSecOps tooling. Build and manage infrastructure and deployment pipelines, implement testing and secure coding practices, collaborate with product and engineering teams, participate in code reviews, and guide technical assignments. The role also involves risk management, stakeholder influence, mentoring, and driving technology innovation.

Designs and deploys machine learning, analytics, NLP, and generative AI solutions for banking risk and compliance. Builds data pipelines, predictive models, dashboards, and production AI applications while supporting model governance, validation, explainability, and regulatory readiness. Partners with risk, compliance, data, and technology stakeholders; mentors junior team members; and contributes to AI strategy, model monitoring, and responsible AI practices across the organization.

Leads product quality improvement and new product development quality initiatives. Uses customer, warranty, reliability, and shipment data to identify issues, coordinate cross-functional corrective actions, and verify effectiveness. Develops 8D and customer reports, quality metrics, risk management plans, and management presentations. Supports product transfers, audits, warranty administration, and production qualification. Requires collaboration across engineering, manufacturing, service, sales, suppliers, and offering management, with approximately 20% customer travel.

Leads engineering teams and designs enterprise-scale full-stack applications across front-end, back-end, integration, and data layers. Provides technical direction, mentors engineers, promotes engineering standards, and oversees delivery, risk, quality, security, and operational stability. Develops APIs, microservices, event-driven and cloud-native solutions using modern DevSecOps, CI/CD, automated testing, and infrastructure practices. Partners with business, product, architecture, and technology stakeholders to deliver scalable solutions aligned with strategic objectives.

Drives software quality across web, API, cloud, and microservices applications. Designs and executes comprehensive testing strategies, develops Python-based automation frameworks, validates APIs and databases, integrates tests into CI/CD pipelines, and manages defects through resolution. Collaborates with Product, Engineering, and DevOps teams in an Agile environment, mentors junior engineers, and applies AI-powered development tools and modern quality engineering practices to improve coverage, reliability, and release quality.

Build, run and maintain cloud data and analytics pipelines; develop code to standards; debug production issues and perform root-cause analysis; collaborate with stakeholders; improve processes and deliver cloud-based enhancements using Snowflake, Python, SQL and Databricks.

Develop and support Oracle ERP Cloud integrations and BI Publisher reports using OIC, REST/SOAP APIs, XML, and SQL. Responsibilities include designing reusable integration frameworks, building complex payment and outbound reports, optimizing performance, troubleshooting, testing, deploying, debugging, and resolving production issues.

Develops, tests, documents, implements, and supports moderately complex software across front-end and back-end platforms. Collaborates with business, technology, client, vendor, and leadership teams; contributes to application standards, PCI compliance, estimates, production support, and solution design. Uses Python, SQL, BigQuery, Snowflake, Power BI, APIs, and relational and NoSQL databases. Provides peer guidance and applies analytical, data validation, feature engineering, and visualization skills.

Inventory legacy reports and business logic, rebuild them as SQL transformations in cloud data warehouses, validate outputs, reconcile discrepancies, and publish curated datasets and metrics for Power BI dashboards. The role requires navigating fragmented data, documenting sources and definitions, partnering with stakeholders, and using AI tools to accelerate analysis while maintaining finance-grade accuracy and reporting controls.

Designs, develops, tests, deploys, maintains, and supports Oracle-based applications using PL/SQL and Oracle APEX. Responsibilities include APEX front-end customization, database performance optimization, REST and web-service integration, production troubleshooting, release management, and translating business requirements into technical designs. The role works directly with customers and requires strong communication skills, application support capabilities, and expertise in Oracle technologies.

Design, build, and maintain data pipelines and models on GCP; integrate, cleanse, and prepare large datasets; implement data quality checks and security best practices; troubleshoot data issues; mentor junior data engineers and review their work.

Leads the architecture, governance, and delivery of platform extensions, custom codebases, and tailored enterprise application solutions. Establishes extension patterns, coding standards, CI/CD and testing policies, API contracts, and security controls while preventing over-customization and technical debt. Manages senior engineering teams, performs code reviews, guides troubleshooting and performance tuning, and oversees scalable release management for multi-tenant environments.

Manages software development for an enterprise management platform. Responsibilities include planning and estimating development work, coordinating managers and teams, supporting Agile delivery, collaborating with testers and project managers, and communicating product capabilities across corporate functions. The role also promotes responsible use of AI-assisted development tools, balancing delivery acceleration with human review.

Hands-on data engineer building and maintaining Data Foundation-based data products and scalable ETL pipelines across multi-cloud (AWS/Azure/Databricks). Implement lakehouse and medallion architectures, publish data products (Unity Catalog), apply DevOps/IaC practices (AWS CDK, Terraform), collaborate globally, follow DataOps/ITSM, ensure data privacy and security, and continuously optimize workloads.

Design, develop, and maintain data-intensive software and analytics platforms using C#/.NET and SQL. Lead delivery, collaborate with product and stakeholders, ensure secure coding and unit testing, support data publication, governance, and visualization (Tableau/Power BI/Spotfire/BO), and help modernize legacy platforms toward cloud and modern data architectures.

Lead engineering teams developing high-quality software for Barclays’ digital mortgage ecosystem. Responsibilities include technical guidance, team allocation, delivery planning, risk management, mentoring, performance reviews, process improvement, stakeholder collaboration, requirements analysis, architecture, peer reviews, testing, and enforcing technology standards. The role requires strong object-oriented distributed-systems development, microservices, databases, DevOps automation, Agile delivery, secure development, and AI-enabled development practices.

Build and maintain secure, scalable data architectures, pipelines, warehouses, and lakes. Develop processing and analysis algorithms, ensure data quality, and collaborate with data scientists to deploy machine learning models. Lead or advise teams, provide technical guidance, manage risk and controls, influence stakeholders, and drive infrastructure and deployment pipeline improvements using AWS, Hadoop, SQL, Scala, Python, and ETL technologies. The role is based in Pune.

Build and maintain scalable data pipelines, warehouses, lakes, ingestion processes, and transformation solutions. Develop PySpark, AWS, Snowflake, dbt, SQL, and cloud-based data architectures; support data governance, orchestration, security, and lineage. Collaborate with data scientists, stakeholders, and infrastructure teams to translate requirements into reliable ETL and ELT components, deliver project implementations, manage controls, and improve data accessibility, quality, and performance.

Bridges client needs and technical delivery for lending systems supporting mortgage, consumer loans, and securitization. Captures and documents requirements, models processes and data using UML, designs workflows, supports testing, resolves issues, and coordinates business, operations, IT, vendors, and project teams. Participates across the full software delivery lifecycle and provides L3 production support. The role also promotes cost-effective solutions, delivery improvements, and adherence to analysis standards.

Performs business analysis for cash services change initiatives in banking. Partners with Product Owners, architects, developers, testers, and Scrum teams to define requirements, write user stories and acceptance criteria, analyze data and business rules, review test results, create functional specifications, and maintain SDLC discipline. The role requires deep payments and banking expertise, including ISO 20022, SWIFT messaging, cash and liquidity management, Agile delivery, and Target Operating Models.

Leads end-to-end architecture, design, integration, implementation, enhancement, upgrade, and production support for Oracle Fusion Cloud solutions. Translates business requirements into scalable technical solutions, oversees integrations with external applications, and provides technical leadership to offshore development and functional teams. Ensures security, performance, scalability, and compliance while managing stakeholders and global technology collaboration.

Provide hands-on technical leadership and full-stack architecture across UI, backend, database, CI/CD and cloud infrastructure. Drive delivery, mentor teams, enforce architectural standards, participate in governance forums, prototype R&D solutions, and improve platform components to accelerate development.

Support, maintain, troubleshoot, and optimize production Databricks applications, Spark jobs, SQL queries, Delta Lake pipelines, clusters, workflows, and workspace configurations. Implement data quality checks, logging, alerting, governance, security, and cost-management practices. Collaborate on enhancements and bug fixes, reduce technical debt, document operational processes, and participate in EST-aligned support rotations.