KeyPoint Consulting is seeking a senior data engineer for a client in the Baltimore area. This role combines software development and analytics experience

Qualifications:

• Familiar with the modern cloud data platforms (Azure preferred but AWS is ok). Experience in some of the following Azure experience is preferred:
• Azure Technologies:
• Data Lake (Analytics and Storage),
• Data Warehouse / Synapse Analytics / Amazon Redshift
• Data Factory
• Logic Apps
• Data Bricks

• 2+ years of data taxonomy, BI, data migration or data lake integration experience
• Proven experience using one or more data modeling tools (including, but not limited to, SQL, Spark, ElasticSearch, Hive, Azure Data Lake, BigQuery, etc.)
• Proven experience using object-oriented programming languages (including, but not limited to, Python, JavaScript, Java, Scala, etc.) and functional data science tools such as R, or others
• Experience with data visualization tools (including, but not limited to, Matplot, Splunk, Kibana, DataStudio, Tableau, Cognos, etc.)
• Experience with Consumer telemetry, infrastructure monitoring, and process improvement preferred
• Machine learning and artificial intelligence experience preferred
• Thrive in a fast-paced and demanding environment, possess a high level of intellectual curiosity, and demonstrate strong judgment in the face of ambiguity
  

Summary:

• Integrate data within Corporate Data Lake and Enterprise Data Warehouse environments; maintain data warehouse
• Migrate legacy data components to future state environments
• Analyze application and infrastructure performance data in order to prevent, detect, and mitigate broadcast center incidents
• Create and maintain a data broker layer for orchestrating broadcast center telemetry messages
• Create a Consumer telemetry layer
• Establish metadata taxonomy and data governance standards
• Build scalable, high performance infrastructure for delivering clear business insights from raw data sources
• Responsible for designing, building, testing, integrating, managing, and optimizing data
• Responsible for data format, resilience, scaling, and security
• Track operations and constantly look for ways to make things work better, faster, and smoother