Top Tech Jobs & Startup Jobs in Pune

Lead planning and execution of data migration projects, coordinating cross-functional teams to ensure accurate, complete, and reliable data transfers. Define migration approaches, controls, validation processes, and risk mitigation strategies. Monitor quality and progress, resolve issues, make team decisions, support stakeholders, and mentor junior team members while ensuring alignment with project standards and timelines.

Execute end-to-end data migrations by extracting, transforming, loading, and validating data in target systems. Develop and maintain migration scripts, monitor workflows, troubleshoot integration issues, and ensure data quality, accuracy, and consistency. Collaborate with cross-functional teams, document migration procedures, optimize processes, and support junior team members while independently contributing as a subject matter expert.

Design, develop, and maintain Snowflake-based data warehousing solutions, databases, pipelines, and ETL processes. Collaborate with data and business intelligence analysts to address data requirements, implement security and access controls, and deliver scalable applications. The role requires hands-on experience with Snowflake Streams, Tasks, Snowpipe, stored procedures, complex SQL, and Python, with AWS services as an advantage.

Lead the architecture and delivery of agentic AI solutions for enterprise data migration. Responsibilities include designing AI agents, LLM and RAG workflows, tool calling, evaluation, guardrails, observability, reverse engineering, data discovery, ETL, and code analysis. The role leads technical teams, defines standards, mentors engineers, manages stakeholders, and ensures scalable, reliable, production-ready solutions aligned with enterprise requirements.

Lead functional testing for payments and cash settlement systems across the capital-markets trade lifecycle. Own test strategy, planning, scenarios, execution, regression, UAT support, defect management, and quality reporting. Validate domestic and cross-border payments, settlement events, accounting entries, reconciliations, fees, FX, and regulatory requirements across upstream and downstream systems. Mentor testers and collaborate with business, product, development, and operations stakeholders during delivery and go-live.

Design, develop, and maintain scalable data solutions, pipelines, and ETL processes using Snowflake. Ensure data quality, data governance, and effective integration across systems. Collaborate with multiple teams, provide technical solutions, make team decisions, mentor junior engineers, and improve data processes. The role requires expertise in data modeling, database design, cloud-based data processing, and Snowflake data warehousing.

Leads the transformation of testing into a continuous quality engineering function. Designs end-to-end automation strategies for complex data pipelines, improves testing accuracy and efficiency, analyzes ETL data quality issues, adopts innovative tools, mentors team members, and coordinates cross-functional testing efforts.

Lead end-to-end data migration planning and execution, coordinating cross-functional teams to ensure accurate, complete, and reliable data transitions. Define migration strategies, controls, validation processes, and risk mitigations while monitoring quality, progress, and timelines. Serve as a subject matter expert, make team-level decisions, solve complex migration issues, and mentor junior team members. The role requires proficiency in Data Build Tool, data migration methodologies, data quality practices, and complex workflow coordination.

Leads end-to-end data migration planning and execution, coordinating cross-functional teams to ensure accurate, complete, and validated data transfer. Defines migration strategies, controls, timelines, and risk mitigation plans; monitors quality and progress; solves issues across teams; and mentors junior staff. The role requires Data Build Tool expertise, strong migration methodology knowledge, data validation skills, and at least 7.5 years of experience.

Designs and implements enterprise data platform architecture using Databricks. Collaborates with integration and data architecture teams to align systems, data models, and strategies. Leads platform blueprint development, makes cross-team technical decisions, mentors team members, and delivers scalable, secure solutions for complex analytics workloads. Responsibilities include data governance, data quality, metadata management, and coordination across multiple teams.