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Data Engineer

4 months ago

Colorado Springs, United States ACL Digital Full time
Job Description:

Role Synopsis
As part of the Data Platforms team, the Data Engineer position contributes to the overall BPX Data Platform Strategy.
  • Define data workflow, pipelines, security, and ELT/ETL guidelines, policies, and procedures
  • Provide oversight to ensure that project teams are following the approved data workflow, pipelines, security, and ETL/ELT processing guidelines
  • Evaluate, compare, and recommend new Data Platform vendor products and/or tools
  • Partner with project teams to provide technical direction and new integration patterns, where needed, for complex and/or large data sets
  • Present modifications to Data Platforms to the Architecture Review Board for approval

Key Accountabilities
  • Responsible for the development, guidance, and oversight for data ingestions and integrations for BPX cloud data platforms.
  • Work with project teams to provide direction on approved patterns to meet the project data requirements for our Data Platforms.
  • Strong SQL development knowledge required to provide support to project developers/users for database design, data flow and analysis activities.
  • Development and deployment of innovative big data platforms for advanced analytics and data processing.
  • Define and build the data rules and pipelines that will enable faster, better, data-informed decision-making within the business.
  • Ensure stable solutions, stable infrastructure, and participate in the design and build out of data solutions.
  • The database and data support roles are outsourced to a managed services partner that resides within the Data Platform team, and this role will require the ability to work and partner with those resources.
  • Create data storage solutions optimized for performance and maintain data architecture standards across BPX Data Platforms.
  • Partner with the Data Quality Lead to incorporate testing and validation scripts to support the accuracy of data transformations.
  • Implement Master Data Management solutions, processes, and governance to support the Data Management team.
  • Partner with the DataOps support team to troubleshoot data issues and provide guidance for solving these issues.
  • Drive excellent, consistent customer service.


Essential Education
  • BS in Computer Science, MIS, Mathematics, or equivalent degree preferred but not required.


Essential Experience and Job Requirements
  • 5+ years of Data Engineering experience
  • 5+ years of relevant work experience in IT/Data and/or Analytics space
  • Experience in any cloud data warehouse, Snowflake Cloud preferred
  • Experience with replication tools, Fivetran preferred
  • Experience with transformation tools, dbt preferred
  • Experience with programming tools, python preferred
  • Experience with REST APIs for data ingestion
  • Strong understanding of ETL/ELT processing with large data stores
  • Experience designing and delivering large scale, 24-7, mission-critical data pipelines and features using modern big data architectures
  • Stream processing services such as Kafka, AWS Kinesis, Apache Storm, Spark Streaming, Azure Event Grid etc
  • Demonstrated experience working in large-scale data environments which includes real-time and batch processing
  • Strong data modeling skills (relational, dimensional, and flattened)
  • Strong analytical and SQL skills, with attention to detail
  • Ability to aid in tuning and performance recommendations for poor performing SQL queries and/or python scripts
  • Knowledge of Database Administration tasks Indexing, SQL Tuning/Performance, Backup/Recovery, DR
  • Ability to work with multiple external teams and accomplish shared goals by building consensus
  • Strong communication (written/verbal) and collaboration skills
  • Consulting, negotiation, and relationship skills
  • Problem solving skills