Top Tech Jobs & Startup Jobs

Lead design and implementation of Snowflake-based ELT pipelines and Medallion Architecture. Build data ingestion, validation, and governance frameworks on AWS. Guide data engineering best practices, identify risks, and drive documentation and continuous improvement while interfacing with clients.

Lead design, build, and maintain automated data pipelines and BI solutions. Modernize manual reports into scalable workflows, optimize SQL and data models, support model scoring and production data prep, monitor data quality, troubleshoot pipelines, and collaborate with stakeholders to deliver reliable analytics.

Lead design, build, and maintain automated data pipelines and BI solutions; convert manual Excel reports into scalable workflows; support production model scoring and data preparation; monitor data quality and collaborate with stakeholders to deliver reliable analytics.

Support end-to-end marketing campaign execution and QA, manage timelines and compliance updates, coordinate with technology and product teams, build cross-functional relationships, identify process efficiencies, and support efforts to improve customer experience for a Fortune 100 financial client in a hybrid NYC role.

Lead design and implementation of scalable GCP-based data pipelines and semantic layers for enterprise healthcare analytics. Drive ingestion automation, BigQuery optimization, ETL/ELT orchestration, observability, data quality, and metadata management. Provide technical leadership, mentor engineers, and collaborate with architects and stakeholders to deliver production-ready cloud data solutions.

Lead People Operations for India: own HR operations (onboarding, payroll, benefits, compliance, HR data/HRIS), partner with leaders on org design and headcount planning, drive employee experience and engagement, build scalable processes and dashboards, and lead a People Operations team.

Lead discovery and shape AI product strategy by identifying high-value AI opportunities, creating business cases and roadmaps, mobilising cross-functional teams, validating technical feasibility, and establishing governance to deliver scalable, measurable AI solutions.

The Data Science Manager will lead analytics initiatives, design predictive models, collaborate with teams, mentor data scientists, and drive data-informed strategies.

Design and implement Snowflake-based governance and privacy solutions, automate data protection and masking, remediate JSON field privacy, support data cleanup and warehouse performance, and collaborate on scalable data architecture and pipelines.

Validate and ensure data accuracy across pipelines by building reconciliation frameworks, executing acceptance and regression tests, profiling data, documenting lineage, and collaborating with engineering and analytics teams to promote reliable data pipelines into production.