Top Tech Jobs & Startup Jobs in Pune

Build and administer enterprise QlikView and Qlik Sense platforms, develop dashboards and data models, and integrate analytics with Snowflake, AWS S3, and multiple databases. Responsibilities include platform upgrades, security, monitoring, troubleshooting, incident management, data ingestion, ETL, service governance, and stakeholder coordination. The role supports global BI users, drives automation and continuous improvement, and requires strong infrastructure, SQL, DevOps, and ITIL knowledge.

Designs, develops, and implements scalable AI solutions and infrastructure platforms. Responsibilities include maintaining AI models and algorithms, automating data transformation and validation, generating and maintaining test scripts, refactoring legacy code for cloud-native environments, monitoring system reliability, managing incidents, and applying security and software engineering best practices. The role collaborates with architects, data engineers, data scientists, and product managers while contributing to technical direction, risk management, and team development.

Lead engineering teams to deliver high-quality software by providing technical guidance, mentoring, overseeing delivery timelines, improving processes and tooling, enforcing standards, and collaborating with product and stakeholders. Drive DevOps/CICD, cloud, containerization, IaC, code quality and automation practices within the Mortgages digital domain.

Leads financial crime quality control operations for payments screening, sanctions, and AML processes. Coaches analysts, challenges poor-quality decisions, monitors quality thresholds and SLAs, performs trend and root-cause analysis, and presents insights in governance forums. The role also manages operational risk controls, regulatory compliance, process improvement, stakeholder alignment, and workforce retention initiatives.

Designs and executes manual and automated testing strategies for software functionality, performance, and user experience. Creates test plans, automated scripts, and comprehensive test scenarios across UI, APIs, and microservices. Collaborates with developers and stakeholders on requirements, acceptance criteria, code reviews, defect investigation, root-cause analysis, and resolution. The role also contributes to continuous improvement, risk controls, technical communities, and potentially team leadership.

Identify and mitigate prudential regulatory reporting risks; assess internal controls and governance; prepare and submit regulatory reports; analyze regulatory data; train employees; liaise with regulators; and oversee regulatory reporting systems and software implementations. The role also supports compliance reviews, audits, risk escalation, continuous improvement, stakeholder coordination, and control strengthening.

Design, build and maintain data pipelines, warehouses and lakes. Implement ETL processes, data models and processing algorithms. Ensure data accuracy, security and accessibility. Collaborate with data scientists, lead teams or projects, advise stakeholders, and drive risk controls and governance.

Designs, develops, automates, and maintains management reports, dashboards, and visualizations for banking business units. Analyzes and cleanses data, defines reporting requirements, ensures data accuracy and controls, and translates complex information into actionable insights for stakeholders and senior management. The role also supports continuous improvement, reporting governance, and coordination across teams.

Build and maintain secure, scalable data pipelines, warehouses, and lakes. Design distributed processing architectures using AWS and Hadoop technologies, develop ETL and analytical solutions, and collaborate with data scientists on machine learning deployment. The role also involves technical design, advanced SQL and programming, stakeholder partnership, risk management, and potentially leading and developing a team.

Design, build and maintain secure, scalable AWS data pipelines, data lakes and Snowflake-based warehouses. Develop ETL/ELT (DBT, PySpark), orchestration (Airflow), advanced SQL/PLSQL, and collaborate with data science to deploy ML models while leading teams and ensuring governance, controls and stakeholder alignment.