Top Tech Jobs & Startup Jobs in Pune

Analyze diverse data sources, build models and dashboards, perform descriptive/diagnostic analytics and data profiling, apply ML and AI tools to improve data quality, and deliver BI reports and governance guidance using SAP and Microsoft BI technologies.

Analyze and interpret complex data to drive business decisions. Design and deliver reports and dashboards using SAP Fiori and SAP Analytics Cloud. Improve data quality via profiling, catalogs, ML techniques, and cleansing rules. Collaborate with stakeholders, document processes, mentor junior staff, and integrate analytics into governance and technology initiatives.

Senior Data Engineer responsible for designing and tuning complex SQL, building ETL/ELT pipelines, querying data lakes with Spark SQL/Trino/Presto, implementing materialized views, partitioning and vacuuming, and developing ACID-compliant Delta Lake tables in Parquet. Requires deep transactional, normalization/denormalization, and query optimization expertise and 10+ years experience with effective English communication.

Lead end-to-end migration of RPA bots from Citrix VDIs to AWS EC2, coordinating infrastructure and automation teams, ensuring security/compliance, validating performance (<200ms), and delivering high availability and disaster recovery while managing risks, documentation, and stakeholder communications.

Lead and deliver multiple software projects, planning schedules, allocating resources, managing stakeholders, tracking risks/issues, ensuring quality/compliance, handling scope changes and escalations, and supporting proposals with estimates.

Participate in software development and testing while supporting communication and coordination with Japan-based stakeholders. Translate or interpret technical conversations, document requirements and meeting summaries, and collaborate with engineering and project management to deliver software components.

Collaborate with QA to design, develop, and execute automated test scripts using Robot Framework; perform manual testing; log and track defects; maintain test environments and data; participate in test case design and reviews; prepare test reports; and contribute to continuous improvement of testing processes.

Design, build, and own low-latency (sub-50ms) real-time Fraud Risk Management systems. Implement streaming/event-driven pipelines (Kafka), optimize PostgreSQL/Redis/Pinot, develop efficient algorithms in Python and Go, ensure correctness, idempotency, and reliability, collaborate with Risk/Compliance/Product, and operate systems on AWS with strong testing and performance tuning practices.

Lead development and deployment of ML/AI solutions: build models (classification, prediction, anomaly detection, NLP), prototype ML products, prepare and pipeline data, collaborate with product and engineering, deliver insights, and mentor team members.

Plan, design, and execute functional, integration, regression, and UAT testing for CAD applications, plugins, and automation workflows. Validate geometry, parametric modeling, assemblies, installations, upgrades, and integrations (PLM/ERP/APIs). Develop/maintain automated test scripts, log defects in JIRA/Azure DevOps, report QA metrics, and collaborate with developers and domain experts to improve CAD application quality.