Data Intelligence - Engineer Data Ld Hybrid

Job Title: Data Intelligence Engineer Data Lead (Hybrid)

Client: Health Care Insurance Company

Duration: 12 Months

Location: Washington DC 20065

Lead Data Engineer to manage cloud/onpremise big data infrastructure focusing on reliability automation and performance. Transform platforms for datadriven insights.

• 20%: Lead design configure and manage Data Integration Framework.
• Develop best practices for performance and reliability.
• 20%: Maintain infrastructure systems (data warehouses data lakes) and data access APIs.
• 15%: Model Data Warehouse solutions (cloud/onpremise); understand Dimensional Modeling Denormalized Data Structures OLAP.
• 15%: Oversee data initiatives support ELT/ETL activities create data collection frameworks.
• 10%: Analyze data with statistical techniques provide reports support key projects.
• 5%: Enhance job knowledge through workshops publications and networking.

Education:

• Bachelors Degree in Computer Science IT Engineering or related field.
• Additional 4 years of relevant experience in lieu of a degree.

Experience:

• 8 years in data engineering leading teams implementing ETL/ELT solutions.
• Developing and updating ETL/ELT scripts application development relational databases and data modeling.

Preferred Qualifications:

• ETL Design (AbInitio)
• Data Integration (Hadoop Cloudera)
• AWS and MongoDB experience
• Knowledge of SQL NoSQL Python
• Database design and data movement concepts
• Strong technical analytical and problemsolving skills
• Excellent organizational and communication skills
• Ability to lead technical teams
• Flexibility to work in fastpaced environments with changing priorities
• Excellent customer service skills

Other Requirements:

• Disclose any debarment from Federal health care programs.
• Meet deadlines and handle multiple customer service demands.

• ETL Design and Development (AbInitio)
• Data Integration (Hadoop Cloudera)
• AWS MongoDB
• SQL NoSQL Python
• Database design data movement
• Technical leadership problemsolving
• Organizational communication skills