... registers in collaboration with Risk and Compliance teams. Implement cost governance: cluster auto-scaling policies, spot-instance strategies, DBU budget alerts, and compute right-sizing recommendations to optimise the platform spend within approved budgets. Partner with Data Scientists, AI Engineers, Data Engineers, and Business ...
... partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Lead Data Engineer Who is Mastercard Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy ...
... production data science infrastructureIDEAL PROFILE:Looking for candidates with strong hands-on experience in:- Data Operations- Production Data Engineering- Data Platform Support- Data Pipeline Monitoring & Troubleshooting- Not looking for purely development-focused Data Engineers or DevOps/SRE https://jobeax.com/link/V6ZwWogXLIs5s3d8 ...
... internal communities around Snowflake, dbt/modern data stack, and cloud-native data engineering.- Promote best practices in coding, modelling, and https://jobeax.com/link/Mb3Nu4mIIu0arjCh Have Skills & Experience : - 18+ years overall experience in data engineering / analytics / data platform roles.- 7+ years in Snowflake ...
... 3 years of experience in design, build and deployment of Ab Initio-based applications • Expertise in handling complex large-scale Data Lake and Warehouse environments • Hands-on experience writing complex SQL queries, exporting and importing large amounts of data using utilities • Excellent verbal communication skills
... approaches and make recommendations aligned to business priorities. Qualifications/Requirements: - 7–10 years of relevant IT experience, with at least 4+ years in a Data Architect, Senior Data Engineer, or similar role focused on data design and modeling. - 5+ years of experience designing and implementing data models for analytics ...
... engineering best practices(e.g. data modeling, pipeline idempotency, operational observability) Responsible for deploying secure and well-tested software and data-assets that meet privacy and compliance requirements; Responsible for service reliability and following site-reliability engineering best practices: on-call rotations ...
... affordable healthcare. Build and manage digital analytics datasets and reporting solutions Develop data pipelines and analytical reporting frameworks Support data validation, UAT, process improvements, and analytics initiatives. Experience & Qualification: Python Power BI & Dashboard Development Data Modeling & Data Validation ...
... analytical services, and machine learning solutions to front end and external systems. Collaborate with data scientists and business stakeholders to operationalize computational and statistical models in production environment. Integrate backend services with Azure cloud components, including Azure Data Lake Storage, Databricks ...
... pipelines on Azure and Databricks. Own schema design, API development, and data infrastructure for analytics and intelligence products. Key Responsibilities Data Pipeline Development Implement robust, scalable data pipelines using Microsoft Azure and Databricks stack Build reusable data pipeline components and frameworks ...
... build robust data pipelines, data lakes, and marts to support business analysts and data scientists. Key Responsibilities Modern Data Platform Development: Build data lake components on cloud-based platforms Design and develop data marts for business analysts and data scientists Data Engineering & Pipelines: Design data pipelines ...
... ensuring our data infrastructure remains a competitive asset in a fast-paced https://jobeax.com/link/CO851KAPNv79RH57 Responsibilities : - Architect and maintain complex data models that serve as the foundation for enterprise-wide reporting and advanced analytics, ensuring high data integrity and performance.- Lead the end-to-end ...
... data pipelines and ETL workflows on AWS.- Develop efficient data processing solutions using python and pySpark.- Write complex and optimized SQL queries for data extraction, transformation, and analysis.- Build and manage ETL pipelines using AWS Glue.- Work with AWS Glue Data Catalog for metadata management and data discovery.- ...
... APIs. Required qualifications - 3 to 5 years of experience in data engineering. - Proficient in AWS S3, Glue, Lambda, DBT, PySpark, SQL, API Gateway, EMR, Airflow. - Hands‑on experience with REST and SOAP APIs. - Strong client communication and basic project lifecycle management. Nice to have ~ Data modelling experience.
... inquiries related to Addepar's portfolio data feeds and on general data product functionalities within established SLAs. Manage and complete requests from internal Data teams that require client outreach and/or action to resolve data verification issues. Investigate client reported bugs and data processing issues, and triage ...
... skills. Job Description: Key Responsibilities: Design, implement, and optimize ETL/ELT pipelines using DBT for data modeling and transformation. Develop backend components and data processing logic using Java. Build and maintain DAGs in Apache Airflow for orchestration and automation of data workflows. Ensure the reliability, ...
... high-performance government for every community at O https://jobeax.com/link/1b9mRDzi1WQ7KhIY . About the role OpenGov is looking for a skilled and solution-oriented Data Engineer to join our growing Data team. In this role, you will be the bridge between business stakeholders and data solutions—translating complex analytical and ...
... career into their own hands. DIVERSITY & INCLUSION We believe that diversity of people and perspective gives us a competitive advantage. MAKE AN IMPACT Job Title: Data Engineer _DEPS Experience: 3–5 Years Location: Bangalore and Pune (Hybrid – Client Office) Job Summary: Seeking a skilled Senior Data DevOps Engineer having experience ...
... deploying complex data architectures within Microsoft Fabric and the broader Azure ecosystem.- Advanced proficiency in Python and SQL for building sophisticated data processing pipelines and complex analytical models.- Strong background in data engineering principles, including ETL/ELT design, data modeling, and performance ...
... integrations for data-intensive applications on OpenShift and Kubernetes using robust CI/CD pipelines. Implement data federation layers supporting Lambda and Data Mesh architectures via Starburst to enable AI/ML and NLP use cases. Leverage agentic AI platforms and development assistants such as https://jobeax.com/link/FLl2iJ9Ts45AZ1a3 ...