... you an all-around data enthusiast with a knack for ETL We're hiring Data Engineers to help build and optimize the foundational architecture of our product's data. We've built a strong data engineering team to date, but have a lot of work ahead of us, Migrating from relational databases to a streaming and big data architecture, ...
... - Advanced understanding of unit testing/integration testing/QA/Validation - Knowledge of data security and authentication protocols - Experience in areas of data governance, privacy and regulation and professional experience with architectural approaches to data security - Have experience integrating multiple data sources ...
... with BigQuery where cloud data-warehouse patterns are appropriate, including data modeling and query/cost optimization.- Design and operate NoSQL and key-value data stores, including Bigtable, DynamoDB, and Redis.- Build and maintain data-quality frameworks covering validation, testing, freshness, completeness, reconciliation, ...
... implementing automated testing and monitoring frameworks, ensuring reliability for all internal and external data consumers.- Partner with stakeholders to identify data bottlenecks and implement innovative engineering solutions that support the long-term scalability of our Big Data https://jobeax.com/link/1dkmzToQOwmnlB8O Skillset ...
... leading the system design and implementation of technical solutions. Working with data excites you; You have created Big Data architecture, can build and operate data pipelines, and maintain data storage, all within distributed systems. You have a deep understanding of data modeling and experience with modern data engineering ...
The ideal candidate will use their passion for big data and analytics to provide insights to the business covering a range of topics. They will be responsible for conducting both recurring and ad hoc analysis for business users. Responsibilities Understand the day-to-day issues that our business faces, which can be better ...
... architecture, and delivery of large-scale data engineering solutions across cloud and hybrid environments. Drive end-to-end data platform implementations encompassing data ingestion, transformation, storage, processing, governance, and consumption. Architect batch and real-time data pipelines leveraging modern big data frameworks ...
... reporting and product development teams 3 to 6 years of experience in the field of data engineering - Graduate degree or higher with courses in programming, data analytics - Good programming skill in Python/scala or any scripting language - Good knowledge of SQL is a required - Basic knowledge and understanding of big ...
... looking for a Big Data Engineer to drive our mission to unlock potential of data assets by consistently innovating, eliminating friction in how users access data from its Big Data repositories and enforce standards and principles in the Big Data space. The candidate will be part of an exciting, fast paced environment developing ...
... build, and maintain scalable data pipelines and architectures for large-scale data environments. - Translate business and technical requirements into reliable data engineering solutions. - Develop data integration, transformation, and processing workflows using Python and appropriate big data technologies. - Build, manage, ...
... build, and maintain scalable data pipelines and architectures for large-scale data environments. - Translate business and technical requirements into reliable data engineering solutions. - Develop data integration, transformation, and processing workflows using Python and appropriate big data technologies. - Build, manage, ...
... maintain scalable big data pipelines and architectures to support robust data solutions.- Collaborate with cross-functional teams to understand and deliver on data requirements and business objectives.- Implement data integration, transformation, and processing solutions using Python and relevant big data technologies.- ...
... members. We are seeking experienced Data Engineering professionals with 4–6 years of hands-on expertise in Big Data technologies, with a focus on building scalable data solutions using Google Cloud Platform (GCP). Key Skills & Experience: Strong programming skills in Python and Bash Solid understanding of SQL and data warehousing ...
... Support data governance, cataloguing, lineage, and metadata management practices where required. Work with Linux/Unix environments and efficiently process large datasets. WHAT MAKES YOU A GREAT FIT - 3+ years of professional experience in Data Engineering, Big Data, Analytics Engineering, or a related field. - Strong hands-on ...
... you will work alongside senior engineers to build, optimise, and maintain data pipelines, write efficient SQL queries, and utilise AWS cloud services to enable data processing and analytics across the organisation. Key Responsibilities Assist in developing, testing, and maintaining scalable ETL/ELT data pipelines. Write, ...
... Engineer Professional Additional Certifications (Preferred) - Databricks Certified Associate Developer for Apache Spark - Cloud platform certifications (Azure Data Engineer Associate, AWS Certified Data Analytics, or Google Cloud Professional Data Engineer) - Relevant data engineering or big data certifications Soft Skills ...
... analysis. Develop a strong understanding of maritime shipping, commodity flows and their relationship with economic, market and policy developments. Translate ambiguous business questions into clear analytical approaches, data requirements and measurable outcomes. Communicate methods, findings, trade-offs and limitations ...
BigLaw Lawyer – Litigation, Corporate & M&A Location: Remote Job Type: Contractor Openings: 100 Compensation: $140–$400/hour About the Opportunity We’re looking for experienced U.S. lawyers with BigLaw backgrounds to apply their legal expertise to an AI-focused project. You’ll contribute to the development and evaluation ...
... Knowledge of process simulation, optimization, or operations research methods. - Exposure to big data frameworks (Spark, Databricks) for handling large-scale event data. - Ability to actively engage in professional communities and forums to share insights and collaborate on advancements in data science and analytics. - Experience ...