... cloud services, this will not be the right fit. What You Will Own The platform Stand up and operate the on-premises data lake and processing layer — storage, compute, orchestration and access control. The canonical model Work with engineers and business analysts to design a shared data model across engineering and manufacturing ...
... management plans and documentation, ensuring compliance with industry standards and regulatory requirements. - Participate in the identification and resolution of data discrepancies and issues, working to streamline data flow and enhance data quality throughout the study lifecycle. - Collaborate closely with cross-functional ...
... 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 ...
... identify candidate signals worth developing further. Becoming a domain expert on different deep learning and machine learning applications for high frequency data, analyzing & understanding the underlying dynamics, market microstructure and behaviors within the data. Develop insights based on the data and collaborate with ...
... 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 ...
... Synapse & Databricks Migration) Role Overview We are looking for a highly experienced Senior Data Engineer to lead the re-engineering of an existing enterprise data platform built on Azure Synapse Analytics. The role requires deep technical seniority to audit, understand, and validate a complex end-to-end data architecture ...
... and Data Science to deliver low-latency signals and features for real-time decisioning. Solid engineering foundation with 5+ years of relevant experience in data engineering and/or distributed systems. Hands-on work building data pipelines (batch and/or streaming) using at least one distributed framework (e.g., Comfortable ...
... 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.- ...
... and Glue ETL jobs. Experience with NoSQL databases such as DynamoDB, MongoDB. Experience working with data formats including Avro, Parquet, JSON, XML, and CSV. Comfortable challenging your peers and leadership team. Can prove yourself quickly and decisively. Excellent communication skills and Good Customer Centricity Design ...
... collaboration and continuous https://jobeax.com/link/yeka7e9uOhXV2ngJ the Role :We are seeking a Senior Fabric Data Engineer who can help with the design and building of data https://jobeax.com/link/jcqkTDCTdscBt8W9 :- Building Data Factory pipelines in Fabric- Scheduling notebook, Copy Activity, and Dataflow Gen2 executions- Creating ...
... S3, AWS Glue, Athena, Redshift Experience designing cloudnative data lakes and data warehouse architectures on AWS Deep understanding of batch and streaming data pipelines Experience building scalable, faulttolerant data ingestion and transformation workflows SQL & Python (Mandatory) Strong SQL expertise Writing complex ...
... work independently and collaboratively to solve complex data challenges and drive continuous improvements across our data engineering practices. 4+ years of data engineering experience, building and managing large-scale data pipelines - Strong proficiency in Python, PySpark, Spark, Databricks, Delta Lake, PowerBI and SQL, ...
Senior Data Engineer Starts Immediately Competitive salary Competitive salary Experience We are looking for a Senior Data Engineer to join our team. In this role, you will design, build, and optimize scalable data pipelines on the Databricks Lakehouse Platform. You will partner with data science, analytics, and business ...
... Experience and Skills – Our Must haves: - Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field; 8+ years of experience in data science with a strong focus on model development and algorithm design in the retail domain such as Fashion or CPG. - Strong communication and requirement gathering ...
About the Company Urban Company is a technology platform offering customers a variety of services at home. Customers use our platform to book services such as beauty treatments, haircuts, massage therapy, cleaning, plumbing, carpentry, appliance repair, painting, etc., We promise our customers a high-quality, standardised, ...
... tools, scripts, or AI-assisted workflows. - An "AI-native" way of working — comfortable using LLMs/AI copilots as part of daily workflow (analysis, documentation, communication, process design), not just as a novelty. - Experience working with AI/ML teams and understanding of how annotated data feeds into model training. - ...
... less than 20 days) Work Mode: Full-Time We are seeking highly skilled and experienced Senior Data Engineers with a deep understanding of data architecture, Big Data technologies, and large-scale data processing. The ideal candidate must have a strong technical background, extensive hands-on experience, and excellent communication ...
... tolerance. Analyze legacy data structures, identify gaps, and design optimized migration strategies aligned with client timelines. Contribute to migration playbooks, data models, and technical documentation for enterprise rollout and audit compliance. Participate in defect triage, issue resolution, and post-migration quality checks ...