... testing methodologies, experiment design, and statistical significance frameworks.- Proficiency in at least one BI/visualization tool (Looker, Tableau, Metabase, Power BI, etc.) and the ability to build dashboards from scratch.- Strong product intuition ability to connect data patterns to user behavior and business outcomes.- ...
... Porch Group, and we'd love for you to be a part of it as our Data Warehouse Engineer with the Data team . We are seeking a Data Warehouse Engineer to join our data team as a strong individual contributor. In this role, you will be responsible for building, optimizing, and maintaining the data pipelines that power our business ...
MDM Data Engineer Location: Remote (Offshore) Full time Snowflake- 5 Years Master Data Management- 5 Years Scripting – Python- 5 Years SAP/Salesforce/Engage to Graph DB- 5 Years Minimum IT Experience: 8+ Years The MDM Data Engineer will build and operate the data pipelines, models, and profiling capabilities that power ...
... Technical Skills & Experience - 5+ Years in Data Engineering: You've lived through the 'on-call' life and know how to build systems that don't break at 3 AM. - The Power Trio: Expert-level proficiency in Python , SQL , and PySpark . - Hands-on experience with Databricks (Delta Lake) or Snowflake . You understand the nuances of ...
... technology, the best of business processes, and superior data insights. Together, we will Reimagine the Cisco experience, Reinvent applications, and Showcase the power of Cisco: our people, products, processes, systems, and data. You will be part of the Database Engineering and Site Reliability Engineering (SRE) team responsible ...
... TC - AI AND DATA - Bangalore National : National comprises of sector agnostic teams working across industries for a well rounded experience. CNS - TC - AI AND DATA : EY Consulting is building a better working world by transforming businesses through the power of people, technology and innovation. Our client-centric approach ...
... integrating cutting-edge methodologies to maintain a competitive https://jobeax.com/link/7R8WInIfuhaWiuHz Skills:- Expertise in analytics tools (SQL, Tableau, Power BI) and data science frameworks (Python, R or Scala, TensorFlow, PyTorch, Scikit-learn, XGBoost, etc).- Solid understanding of deep learning, NLP, computer vision, ...
... 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, ...
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 ...
... 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 ...
... 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 ...
... 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 ...
... 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)
... 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. ...
... agenda Optimizing and integrating different data sets to enable the undertaking of advanced analytics to identify growth opportunities. Responsibilities As the data scientist, this individual will be responsible for development and deployment of data science modeling frameworks using Statistical modeling (Machine Learning ...