Data Engineering at Blackbaud is responsible for ingestion, transformation and processing of data that powers Blackbaud Data Intelligence and Advanced analytics products. The data managed by the team supports data science, data enrichment, research and data analysis as well as making data operationally able to be consumed ...
... AI-assisted tools to accelerate development — generating boilerplate code, drafting SQL/dbt models, writing documentation, debugging pipeline failures, and summarising data quality issues Partner with data quality, governance, and analytics teams to ensure data is well-modelled, well-documented, and trustworthy Optimise Snowflake ...
... 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 ...
... 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 ...
... security, and scalability while enabling faster and more reliable software delivery. Key Responsibilities: - Hands on experience working on Databricks, creating data pipelines, transformation rules using Unity Catalog, PySpark, SparkSQL - Hands on Databricks Devs – Deployments, CICD, Performance Management - Hands on Databricks ...
... 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 ...
... AI-first data strategy at scale across 120M+ customer interactions. Databricks Apps & Self-Serve AI Develop and deploy internal AI-powered applications using Databricks Apps — enabling business users to interact with ML models, RAG systems, and analytics agents through governed, self-serve interfaces. Integrate Databricks ...
... 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. ...
... Migration. Has at least one of the following : - Delivery experience in IVR, CCaaS, Omnichannel Delivery.- Implementing AI use cases for Agent Assist journeys.- Data & analytics expertise.- Experience with BM/MI (KPI Tracking and reporting).Key Responsibilities : - Translate intricate retail banking business requirements into ...
... Migration. Has at least one of the following : - Delivery experience in IVR, CCaaS, Omnichannel Delivery.- Implementing AI use cases for Agent Assist journeys.- Data & analytics expertise.- Experience with BM/MI (KPI Tracking and reporting).Key Responsibilities : - Translate intricate retail banking business requirements into ...
... the US, India & Costa Rica. Responsibilities: ETL Development – The CDP ETL & Database Engineer will be responsible for building pipelines to feed downstream data processes. They will be able to analyze data, interpret business requirements, and establish relationships between data sets. The ideal candidate will be familiar ...
... in driving value for our customers by building data solutions. You'll be carrying out data engineering tasks to build, maintain, test and optimise a scalable data architecture, as well as carrying out data extractions, transforming data to make it usable to data analysts and scientists, and loading data into data platforms. ...
... looking for engineers and data scientists who will being not only an abundance of experiences in technologies but an abundant curiosity to innovate. Also, the data science community at Walmart Labs is active in most of the Hack events, utilizing the petabytes of data at our disposal, to build some of the coolest ideas. All ...
... briefs, and acceptance criteria. - Collaborate with product, technology, and business stakeholders to clarify requirements and track action items. - Assist with data collection, basic analysis, reporting, testing coordination, and identifying opportunities to improve product workflows. - Maintain clear documentation and communicate ...
... exploration and analytics Epic data models and reporting architecture Data & Analytics Strong SQL development skills Data analysis and troubleshooting ETL and data integration concepts Data quality validation and reconciliation Required Certifications Epic Cogito Certification PL-300: Microsoft Power BI Data Analyst Associate ...
... strongly preferred.- Experience with data products, third-party platforms, and SaaS technology solutions.- Working technical fluency with Snowflake, querying databases, and querying APIs to understand and validate data.- Strong Agile experience, including writing user stories and working with Jira, sprints, and ceremonies.- ...