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Senior Software Engineer in the C/FICCO Data Engineering team developing data solutions and scalable infrastructure for trading operations. Works with Python/Java/C++, Kafka, Airflow, and data lake platforms to design batch and real-time streaming systems.
Senior Data and AI Engineer designing, building, and operating data platforms, pipelines, infrastructure, and datasets that power enterprise reporting, analytics, and AI/ML across the business using Azure Fabric data stack and Python.
AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML,…
Location: Gurgaon,None,None Lead Data Engineer Overview We are looking for a Lead Data Engineer who combines hands-on multi-platform expertise with strong leadership in data architecture, pipelines, and CI/CD. This…
Location: Bengaluru,None,None MoEngage is an intelligent customer engagement platform for customer-obsessed marketers and product owners. We enable hyper-personalization at scale across multiple channels like mobile…
Data Engineer building and scaling batch and streaming data pipelines on a modern Azure-based data platform (Databricks, Delta Lake, Python/PySpark, SQL) that powers analytics, BI, and AI/ML across the company.
This role owns Evismart's data platform end-to-end—building pipelines from in-house systems and tools like HubSpot, QuickBooks, and Jira into a central warehouse, and ensuring every team across the company sees the same trusted numbers. The Data Architect leads 2 engineers and works with Databricks, Azure cloud services, dbt, and medallion architecture to support self-serve data access and AI tool
Lead a team of Data Engineers at Roblox to define data ontology, build batch/streaming pipelines, and develop scalable analytics frameworks using SQL, PySpark, Scala, and cloud platforms.
About the role As the Principal Enterprise Data Platform Architect, you will serve as the technical lead and pillar head for Data Platform Engineering within the Data Excellence & AI Foundations organization.…
Jeppesen ForeFlight builds industry-leading aviation software used by pilots, aircraft operators, and major airlines worldwide. As a high-growth, private equity-backed company, we are focused on scaling our operations,…
Lead a team building scalable data pipelines and AI-native infrastructure for a healthcare startup, processing 320M+ patient records to optimize care delivery and reduce costs.
Design, build, and optimize Snowflake-based data pipelines and warehouses, model data with best practices, and collaborate with analysts and scientists to deliver reliable analytics infrastructure.
Build and industrialize data pipelines and infrastructure for public sector and energy clients using Apache Spark, Databricks, Snowflake, and Cloud tools.
Builds and optimizes data pipelines (Kafka, SQL) to support aerospace engineering teams, enabling real-time regulatory data access and collaboration with IT architects. Core tools: DBT, Airflow, Python.
Design and build robust data pipelines on Databricks using PySpark/Spark SQL, optimize data flows, ensure code/data quality, and contribute to agile processes. Core technologies include Databricks, PySpark, Python, SQL, and cloud platforms (AWS/Azure/GCP).
Lead Data Engineer responsible for designing scalable and robust data solutions for clients (e.g., Fortune 500) on projects like cloud migrations and data mesh, working with technical and business teams and mentoring junior engineers.
Designs and deploys modern data platforms, models data warehouses/lakehouses, builds ELT pipelines, and creates data products using SQL, Python, Snowflake, GCP, dbt, Airflow, and Docker.
Data Engineer - Manager/Specialist role at Publicis Groupe in Paris, leading a team to design and implement data pipelines, ETL/ELT processes, and data storage solutions using big data technologies like Spark, Hadoop, Kafka, and cloud platforms including Azure, AWS, and GCP.
Design and develop scalable big data solutions and Spark applications on client cloud platforms. Optimize ETL processes and maintain data pipelines using Python, Kafka, Airflow, and Dagster.
Design and deploy data solutions from collection to modeling, building Spark pipelines and leveraging cloud services (AWS/GCP/Azure) in a big data environment.
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