Sr. Data Engineer
Sr. Data Engineer
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Salary Not Disclosed
1 Vacancy
Job Description
Position: Sr. Data Engineer
Location: Reston VA #HYBRID
Duration: 12 months Contract
Job Description:
- The Senior Data Engineer is responsible for orchestrating deploying maintaining and scaling cloud OR on-premise infrastructure targeting big data and platform data management (Relational and NoSQL distributed and converged) with emphasis on reliability automation and performance.
- This role will focus on developing solutions and helping transform the companys platforms deliver data-driven meaningful insights and value to company.
- Bachelors Degree (Computer Science Information Technology or Engineering or related field)
- 5 years Experience with database design and developing modeling tools.
- Experience developing and updating ETL/ELT scripts.
- Hands-on experience with Ab Initio ETL development in Hadoop and AWS ecosystem.
- Knowledge and understanding of at least one programming language (i.e. SQL NoSQL Python). Expert
- Knowledge and understanding of database design and implementation concepts. Expert
- Knowledge and understanding of data exchange formats. Expert
- Knowledge and understanding of data movement concepts. Expert
- Strong technical and analytical and problem solving skills to troubleshoot to solve a variety of problems. Expert
- Requires strong organizational and communication skills written and verbal with the ability to handle multiple priorities. Advanced
ESSENTIAL FUNCTIONS:
20% Develops and maintains infrastructure systems (e.g. data warehouses data lakes) including data access APIs. Prepares and manipulates data using multiple technologies.
15% Interprets data analyzes results using statistical techniques and provides ongoing reports. Executes quantitative analyses that translate data into actionable insights. Provides analytical and data-driven decision-making support for key projects. Designs manages and conducts quality control procedures for data sets using data from multiple systems.
15% Develops data models by studying existing data warehouse architecture; evaluating alternative logical data models including planning and execution tables; applying metadata and modeling standards guidelines conventions and procedures; planning data classes and sub-classes indexes directories repositories messages sharing replication back-up retention and recovery.
15% Creates data collection frameworks for structured and unstructured data.
15% Improves data delivery engineering job knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; benchmarking state-of-the-art practices; participating in professional societies.
10% Applies data extraction transformation and loading techniques in order to connect large data sets from a variety of sources.
10% Applies and implements best practices for data auditing scalability reliability and application performance.
Thanks & Regards
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LAXMAN
Team Lead - Talent Acquisition
KMM Technologies Inc.
CMMI Level 2 ISO 9001 ISO 20000 ISO 27000 Certified
Employment Type
Full-time
