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 company's platforms deliver data-driven, meaningful insights and value to company. ~ Bachelor's 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, -- LAXMAN Team Lead - Talent Acquisition KMM Technologies, Inc. CMMI Level 2 | ISO 9001 | ISO 20000 | ISO 27000 Certified

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