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Builds and maintains data pipelines for building systems and IoT devices, develops AI models for anomaly detection and predictive maintenance, and supports cloud-based analytics using Python, SQL, and Docker.
Senior Data Analyst building pipelines and metrics for Gen AI and Recommendation Systems, owning data models and feature stores to power ML models and dashboards.
Design and teach a next-gen data platform for a fintech SaaS that unifies due-diligence data from 150+ countries, migrating from SQL Server to PostgreSQL and adding AI-native features like vector search and semantic matching.
Senior Data Engineer builds and maintains scalable data pipelines and warehouses using Spark, Kafka, Airflow, and BigQuery to transform raw data into reliable systems for analytics and ML.
Build and maintain AWS cloud infrastructure and data pipelines for a large fintech firm, automating deployments with Terraform and CI/CD tools while ensuring security and scalability.
Build and maintain scalable data pipelines, ETL/ELT solutions, and data warehouses using PySpark, AWS, and modern data platforms to process and analyze large-scale financial data securely.
Build and maintain scalable data pipelines and infrastructure using PostgreSQL, Python, AWS, and ETL tools to support analytics and reporting for client projects.
YOU ARE You lead the complete knowledge engineering scope on our most strategic and complex programs; lead creation of thought leadership, innovation, and assets for the discipline. You own how the most demanding…
Design and implement scalable Snowflake-based data architectures and modern data platforms for clients, leveraging tools like dbt and Fivetran to enable AI-ready solutions.
Build and optimize scalable data pipelines on Databricks using PySpark, Delta Lake, and cloud platforms to power enterprise analytics and ETL workflows.
Build and optimize cloud-based data pipelines and warehouses to power analytics and future AI initiatives using Python, SQL, and Azure/AWS.
As an Engineering Manager, AI & ML (Data Collection), you will play a critical role in building and scaling the company’s Unified AI/ML Data Collection Platform , enabling standardized, reliable, and scalable…
Build and maintain a modern cloud data platform using Snowflake, Fivetran, dbt, and Airflow to enable analytics and AI-driven insights for a mortgage insurer.
Lead the architecture and team behind Inari’s data, AI, and engineering platform, integrating AWS, Kubernetes, and AI workflows to support predictive design and scientific computing for sustainable agriculture.
Build and maintain automated data pipelines and analytics infrastructure at Salesforce, transforming raw data into actionable insights using Spark, SQL, and cloud platforms.
Design and maintain data pipelines and ETL processes using Apache Airflow and AWS Glue to ensure reliable data collection, processing, and migration across systems.
Design and industrialize IoT and embedded data platforms, building scalable batch/streaming pipelines and ensuring data quality for smart-factory and connected-product initiatives.
Build and maintain ETL pipelines using Python, PySpark, and AWS Glue, orchestrating workflows with Step Functions and Lambda while optimizing Redshift and S3 storage solutions.
Build and maintain Python/SQL backend services and data pipelines for a modern data platform, integrating with data lakes and lakehouse architectures.
Designs and delivers scalable, enterprise-grade data platforms using cloud ecosystems like Databricks, dimensional modelling (Kimball), and modern data pipelines.
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