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    Data Engineer - Colorado Springs, United States - ACL Digital

    ACL Digital
    ACL Digital Colorado Springs, United States

    3 weeks ago

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    Description
    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
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