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高级数据工程师

雇主

VS Tech Solutions

地点

远程 · Remote · 美国

待遇

$面议

工作模式

远程

截止日期

1月9日

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岗位摘要

Design and develop data and integration solutions that elevates enterprise systems efficiency, performance, and value.

岗位职责

Design and develop data and integration solutions that elevates enterprise systems efficiency, performance, and value. You will join a team of high-achieving technical consulting professionals and help provide solutions to our clients most challenging enterprise IT problems.
As a key part of our team, you will recognize, subscribe, and apply best practices, methodologies, tools, and techniques to meet client requirements, timelines, and budgets. You will work closely with the client to understand both their business processes and analytics needs to design and build data pipelines and cloud data solutions. You will have the opportunity to guide best practices in data warehousing, data processing, and data management design. At Resource Data we strive for a long-term, stable workforce, and offer our employees competitive salary and benefits with flexibility to suit their individual needs. Come join our team!
Job Responsibilities
Create and maintain optimal data pipeline architectures
Create data integrations between source and destination systems
Conduct complex data analysis and report on results
Prepare data for prescriptive and predictive modeling
Assemble large, complex data sets that meet functional / non-functional business requirements
Design and build effective and scalable Business Intelligence solutions including Operational Reports, Data Visualizations, Dashboards, Reporting Data Marts and ETL/Data Integration solutions
Determine transformation requirements and develop processes to bring structured and unstructured data from the source to a new physical Data Model
Identify, design, and implement process improvements for our clients: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Build the infrastructure required for optimal extraction, transformation, and loading (ETL) of data from a wide variety of data sources using SQL, Azure, and AWS technologies
Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics
Work with clients and project teams to assist with data-related technical issues and support their data infrastructure needs
Required Skills & Experience
Experience with data management experience, development, and maintenance in a Cloud environment
Experience in data modeling, data analysis, and relational database design
Experience building and optimizing data pipelines, architectures, and datasets
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
Experience manipulating, processing, and extracting value from large, disconnected datasets
Experience with data warehousing and multidimensional data models
Experience with data migration projects
Experience with ETL development
Experience with AWS and Azure
Experience with designing high-performing reporting/analytical schemas
Experience in data structures, algorithms, and strong programming skills in Python, R or Java
Experience working with large enterprise clients and systems
Desirable Skills
Prior experience in consulting or analytics project delivery through the entire software lifecycle: Requirements, Design, Development, Testing, Deployment
Experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, or Spark)
Experience working on real-time data and streaming applications
Working knowledge of message queuing, stream processing, and highly scalable big data data stores
Experience with online Data Warehouses (Snowflake, Redshift, etc.)
Experience with Machine Learning, AI, or Predictive Analytics
Experience with unstructured datasets
Experience with C#, Java, Python, and R
Resource Data Environment
Comprehensive Healthcare:Medical, Dental and Vision
Healthy work-life balance with full flex schedules
401(k) with company match
Fully remote opportunities available for the right candidate
Moving allowance available for the right candidate
Progressive roles and projects that encourage ownership and leadership
Opportunities to learn and gain experience in complimentary areas such as Project management, Business Analysis, Software Development, etc.
Training and certification opportunities to support your career
Originally posted on Himalayas

申请条件

- 具备设计和开发数据与集成解决方案的能力,以提升企业系统效率、性能和价值
- 能够识别、遵循并应用最佳实践、方法论、工具和技术,以满足客户需求、时间线和预算
- 能够与客户紧密合作,理解其业务流程和分析需求
- 能够设计和构建数据管道及云数据解决方案
- 能够指导数据仓库、数据处理和数据管理设计方面的最佳实践
- 能够创建和维护最优的数据管道架构
- 能够创建源系统与目标系统之间的数据集成
- 能够进行复杂数据分析并汇报结果
- 能够为规范性和预测性建模准备数据
- 能够组装大型、复杂的数据集,以满足功能/非功能业务需求
- 能够设计和构建有效且可扩展的商业智能解决方案,包括运营报告、数据可视化、仪表板、报表数据集市和ETL/数据集成解决方案
- 能够确定转换需求并开发流程,将结构化和非结构化数据从源系统引入新的物理数据模型
- 能够识别、设计和实施流程改进,包括自动化手动流程、优化数据交付、重新设计基础设施以提高可扩展性
- 能够使用SQL、Azure和AWS技术构建从各种数据源进行最优提取、转换和加载(ETL)所需的基础设施
- 能够构建分析工具
- 具备技术咨询或企业IT解决方案相关经验
- 具备商业智能、数据仓库、数据处理和数据管理方面的知识
- 具备SQL、Azure和AWS等技术平台的实践经验
- 具备较强的问题解决能力和流程改进能力
- 具备良好的客户沟通和协作能力
- 能够适应客户需求、时间线和预算约束
- 具备数据建模和ETL/数据集成相关经验

雇主简介

VS Tech Solutions 是一家提供数据与集成解决方案的技术咨询公司,专注于提升企业系统效率、性能与价值,服务涵盖数据管道、云数据解决方案、数据仓库、商业智能及ETL/数据集成等领域。

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数据来源:Himalayas

岗位信息来源于公开渠道,版权归原作者所有