... Computer Science, Information Technology, Engineering, or a related field. 10+ years of overall software development experience, with 3+ years in a Solutions Architect or Technical Architect role. Experience in enterprise application architecture, cloud transformation, and database modernization is highly preferred. Microsoft ...
... 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, including a complete overhaul of our data feeds - Defining streaming event data feeds required for real-time analytics ...
... Pre and post implementation application control audits and data migration audits with regard to critical systems, Change Management, Logical Access, BCP/ DR, Data centre controls.- Strong understanding of the regulatory framework and guidelines applicable to Information Technology / Information Security and Information ...
... Skills And Qualifications - Bachelor's or Master's degree in Computer Science, Information Technology, or related field. - 8+ years of experience in database architecture and administration. - Proficiency with SQL, PL/SQL, and database technologies like Oracle, SQL Server, MySQL, PostgreSQL. - Experience with NoSQL databases ...
... GCP) and cloud-native architecture principles Master's degree in Computer Science, Information Systems, Software Engineering, Data Science, or related field Databricks Certified Solutions Architect or equivalent certification Cloud architecture certifications (AWS Solutions Architect, Azure Solutions Architect, or GCP ...
... experience with AWS cloud database services.- Extensive experience with PostgreSQL, MongoDB, MS SQL Server, and Redis.- Strong knowledge of Data Modeling, Data Architecture Frameworks, and Information Classification.- Experience implementing database security, compliance, and governance controls.- Proven expertise in database ...
... - 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 into a common set of data assets Stay up to date on everything Blackbaud, ...
... models and transformations in dbt, including tests, documentation, and CI/CD-based deployment Design dimensional and/or medallion-style (Bronze/Silver/Gold) data architectures that balance performance, cost, and usability Use AI-assisted tools to accelerate development — generating boilerplate code, drafting SQL/dbt models, ...
... 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 ...
Sigmoid Analytics is a leading Data solutions company backed by Sequoia Capital. We offer best in- end-to-end data value chain spanning across Data Science, Data Engineering and Data Ops. With data and technology at the core of our solutions, we are solving some of the toughest problems out there. The below role is for our ...
... LLMs, AutoGen, OCR, Databricks, PySpark, Python, Azure DevOps, and enterprise AI platforms. The role requires strong hands-on experience across SQL Server, Azure Data Factory, Azure Data Lake, Microsoft Fabric, Logic Apps,Power BI, GitHub, and Data Modeling. Required Skills: - 10+ years of Software Engineering / Data Engineering ...
... business faces, which can be better understood with data Compile and analyze data related to business' issues Develop clear visualizations to convey complicated data in a straightforward fashion Qualifications - Bachelor's or Master's degree in Statistics or Applied Mathematics or equivalent experience - 1 - 2 years' Data ...
... performant Use AI tooling within DE workflows, including code generation, pipeline automation, and data quality checks Contribute to and help shape company-wide data governance standards Collaborate with analytics, BI, and business teams to deliver trusted, well-modeled data 5–7 years of hands-on data engineering experience ...
... production issues, work with Databricks to open incident tickets/case and follow up to close the issue and ensure long term fixes - Additional knowledge of other Databricks key features, like Genie, Apps, Models creations etc Required Qualifications: - Bachelor's degree in computer science, Information Technology, Engineering, ...
... data ecosystems. Lead the design, 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 ...
... every model — from classical ML to RAG pipelines and autonomous agents — is reproducible, explainable, observable, and production-safe. The incumbent will architect and implement the MLOps and LLMOps platform on Databricks, leveraging Agentbricks (Databricks Agent Framework), Databricks Apps, MLflow, Feature Store, Model ...
... for a data professional to join our Data Engineering team. Independently execute data engineering projects Undertake processing of structured and unstructured data Development of data processing codes for automation & building scalable solutions Develop and maintain data solutions for clients / projects Communicate and interact ...
... 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 Data Engineering ...
... maintain scalable data pipelines and data lake solutions on GCP. Build and automate data ingestion and transformation workflows using Airflow and BigQuery. Ensure data quality, performance, and security across all cloud environments. Collaborate with cross-functional teams to translate business needs into efficient data models. ...
... https://jobeax.com/link/fYGlpInxuIv5PeS1 & Skills :- 4 - 7 years in data engineering: SQL, Python, ETL/ELT orchestration.- Cloud data platform experience (Azure preferred): pipelines, storage, APIs.- Strong understanding of data lake and data architecture.- Data modelling for analytics (star schema) and data quality frameworks. (ref:hirist.tech)