| Lead Data Engineer (HEALTHCARE INDUSTRY EXPERIENCE) || Remote at Industry, Texas, USA |
| Email: [email protected] |
| From: jatin parashar, Vyze Inc [email protected] Reply to: [email protected] Hi, I hope you are doing well, Job Description Title: Lead Data Engineer (HEALTHCARE INDUSTRY EXPERIENCE) Location: Remote Duration: 6 months Moi: video MUST-HAVES Have to live in the DMV area or West Virginia. The office is in Reston, VA and they will need to go into the office as needed, maybe two times a month. Candidates will need to become a permanent employee of Care First around 8-10m time frame Technical skill sets that are needed: MUST HAVES Core skill -hands-on Ab Initio developer (continuous flows/realtime processing) Supported -data platform project- Cloudera data Ecosystem AWS services and systems (exp related to data space) redshift/kafka/glue etc) Lead experience/ excellent communication skills Hive, Hadoop, Impala A PLUS Mongo (business use case) A PLUS Healthcare industry background PURPOSE: The Lead Data Engineer/AB Initio Developer 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 leading the development of solutions and helping transform the company's platforms deliver data-driven, meaningful insights and value to company. Qualifications To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Education Level: Bachelor's Degree; Computer Science, Information Technology or Engineering or related field Experience: 8 years Experience with degree or 12 years without a degree in leading data engineering and cross functional team to implement scalable and fine-tuned ETL/ELT solutions for optimal performance. Experience developing and updating ETL/ELT scripts. Hands-on experience with application development, relational database layout, development, data modeling. Preferred Qualifications Knowledge, Skills and Abilities (KSAs) ETL Design and Development experience using AbInitio ., Expert Data Integration project experience on Hadoop Platform, preferably Cloudera., at least one project some AWS cloud experience and exposure to MongoDB is a big plus 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., Expert Able to effectively provide direction to and lead technical teams., Expert ESSENTIAL FUNCTIONS: 20% Lead the team to design, configure, implement, monitor, and manage all aspects of Data Integration Framework. Defines and develop the Data Integration best practices for the data management environment of optimal performance and reliability. 20% Develops and maintains infrastructure systems (e.g., data warehouses, data lakes) including data access APIs. Prepares and manipulates data using Hadoop or equivalent MapReduce platform. 15% Provides detailed guidance and performs work related to Modeling Data Warehouse solutions in the cloud OR on-premise. Understands Dimensional Modeling, De-normalized Data Structures, OLAP, and Data Warehousing concepts. 15% Oversees the delivery of engineering data initiatives and projects. Supports long term data initiatives as well as Ad-Hoc analysis and ELT/ETL activities. Creates data collection frameworks for structured and unstructured data. Applies data extraction, transformation and loading techniques in order to connect large data sets from a variety of sources. 15% Enforces the implementation of best practices for data auditing, scalability, reliability and application performance. Develop and apply data extraction, transformation and loading techniques in order to connect large data sets from a variety of sources. 10% 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. 5% 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. 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| Tue Jun 11 19:58:00 UTC 2024 |