Lead Data Engineer

Job Summary (Lead Data Engineer - Englewood CO)

• Lead the design development and maintenance of scalable ETL pipelines using Spark to ensure data quality and availability.
• Execute advanced analytics machine learning and generative AI techniques to enhance network security and operational efficiency.
• Leverage AWS for building and deploying scalable data engineering solutions.
• Implement monitoring alerting and continuous integration / delivery pipelines for reliable data operations.
• Develop and manage data integration solutions to support analytics / reporting needs.
• Conduct complete analytics lifecycle : data exploration grooming modeling validation and prototyping.
• Analyze diverse data sources (APIs flat files databases distributed file systems) for analytic relevance.
• Interpret and communicate analytic results to drive organizational action and improvements.
• Collaborate with cross-functional teams to integrate analytic solutions into production and educate stakeholders.
• Mentor peers and share expertise in analytic techniques tools and best practices.
• Required skills : ETL ML Ops AI / ML Data Warehousing Spark Python Scala / Java SQL Big Data tools statistical analysis.
• Good to have : AWS Linux text analysis / mining NoSQL databases.
• Education / Experience : Bachelors (8 years) or Masters (6 years) in computer science or related quantitative field.
• Work location : Onsite in Englewood CO; 12-month contract; visa-independent candidates only.

Key Skills

Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala

Employment Type : Full Time

Experience : years

Vacancy : 1