Description
As a Senior Data Engineer with Resource Data, you’ll help design and develop data and integration solutions that elevates enterprise systems efficiency, performance, and value. You’ll join a team of high-achieving technical consulting professionals and help provide solutions to our client’s most challenging enterprise IT problems.
As a key part of our team, you’ll recognize, subscribe, and apply best practices, methodologies, tools, and techniques to meet client requirements, timelines, and budgets. You’ll 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
Conceptual, logical and physical data modeling
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 database design, development, and maintenance
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 ELT/ETL development
Experience with designing high-performing reporting/analytical schemas
Desirable Skills
Prior experience in consulting or analytics project delivery through the entire software lifecycle: Requirements, Design, Development, Testing, Deployment
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
Experience with custom application development and the Software
Experience in data structures, algorithms, and strong programming skills in Python, R or Java
Experience working with large enterprise clients and systems
Development Life Cycle (SDLC)
About Resource Data
Starting in Alaska 35 years ago, Resource Data has grown to about 185 professionals in 5 offices across the United States. We’re ready and eager to demonstrate high value results to local clients through our commitment to people, technology, and results.
Resource Data is an Equal Opportunity Employer. Unfortunately, we are not able to provide any visa sponsorship or transfers for this position.
Keywords: Data Engineering, SQL, Azure, AWS,C#, Java, Python, R, Data Warehousing, Multidimensional Data Models, Data Modeling, Database Design, Snowflake, MapReduce, Hadoop, Hive, EMR, Kafka, Spark
