Job Details

About the job Senior Data Engineer

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

• 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

• 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

• 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