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Lead the design and build of scalable data pipelines and warehouses for enterprise clients using Databricks, Snowflake, and cloud platforms like Azure and AWS.
Lead Mercury’s enterprise data strategy, designing scalable data models, pipelines, and platforms to support analytics, reporting, and AI-driven products across the insurance business.
Build and maintain Vanta’s data infrastructure and analytics stack, designing scalable pipelines and dimensional models to power reporting and ML products for security compliance automation.
Senior Analytics Engineer at Vanta, designing and implementing complex data models, managing data infrastructure, and enabling AI tooling for data-driven decision-making.
Lead the design and build of SimplePractice’s data infrastructure—pipelines, warehousing, and semantic layers—to power analytics, reporting, and AI across the company and for clinicians.
Build and optimize ETL pipelines in AWS using SQL and Python to assemble and transform financial data sets for stakeholders.
Design enterprise-scale data and AI architectures for Fortune 500 customers, integrating cloud data platforms, LLMs, and agentic systems while translating business needs into technical solutions.
Lead a 5-6 person data engineering team at a Databricks-backed consultancy, delivering ETL/ELT pipelines, cloud migrations, and real-time analytics for EMEA clients using Spark, Delta Lake, and cloud platforms.
Senior architect designs and implements scalable data-management solutions for Workiva’s platform, bridging customer needs with technical delivery and driving adoption across finance, risk, and sustainability domains.
Senior Domain Architect designs and implements scalable data-management solutions for Workiva’s platform, integrating ERP/EPM systems and cloud data stacks to meet finance, risk, and compliance needs.
Engineering Manager- Data & Analytics Team: Technology, Information and Media Location: Bengaluru Commitment: Full-time Workplace Type: onsite Salary: We are looking for a sharp, hands-on Engineering Manager to…
Description As a Database Engineer, you will design, build, and operate scalable, secure data stores that power our applications and analytics. You’ll partner closely with application and data teams to shape schemas,…
Build and maintain scalable data pipelines and a self-service data platform using Python, SQL, Snowflake, and Airflow to deliver trusted data products for analytics teams.
Build and maintain Python-based ETL pipelines and DBT data transformations to process healthcare data, integrating FHIR standards for RevSpring’s outcomes-driven payment and engagement solutions.
Analyze payments data (UPI, card transactions) to track success rates, failures, settlements, and vendor performance using SQL, then turn insights into actionable decisions for FamPay’s product and finance teams.
Senior Data Engineer designs and builds AI-ready data platforms, ETL/ELT pipelines, and semantic layers for clients using Snowflake, Databricks, dbt, and Python.
Build and own canonical data models, dashboards, and AI-ready semantic layers for a fintech serving Hispanic immigrants, partnering with Product, Growth, Risk, and Finance.
Build, deploy, and scale AI/ML models and pipelines for Wave’s fintech platform, ensuring reliability, governance, and integration with AWS and MLOps tools.
Build and maintain AWS-based data pipelines and migrations using Redshift, PostgreSQL, Python, and SQL to ensure secure, scalable data delivery for analysts and engineers.
Lead the migration of data systems to AWS and build scalable pipelines using Redshift, PostgreSQL, Python, and SQL while managing secure access for large teams.
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