Senior Data Engineer

Employer
EDI Staffing
Location
Parkville, MD
Posted
Nov 17, 2020
Closes
Nov 23, 2020
Ref
1435095100
Function
Engineer, IT, QA Engineer
Hours
Full Time
Most Important to Have: 4 year Degree (client requirement) Must have experience with Cloud related technologies Data Lakes (or related) JOB DESCRIPTION: DATA ENGINEER DIRECT HIRE Client is seeking Data Engineers for one of our most prestigious clients in the Baltimore area. This role combines software development and analytics experience so either of the following backgrounds is acceptable: a software developer with experience in data interpretation OR a business analyst with experience in software development, especially focused on process automation. Client offers: FULL BENEFITS PACKAGE FLEXIBLE WORK SCHEDULE EXCELLENT TEAM ENVIRONMENT REMOTE WORK during Covid What you Bring to the Table: Familiar with the modern cloud data platforms (Azure preferred but AWS is ok). Experience in some of the following is preferred: Azure Technologies: Data Lake (Analytics and Storage), Data Warehouse / Synapse Analytics / Amazon Redshift Data Factory Logic Apps Data Bricks Other preferred technologies include: Advanced T-SQL (SQL Server), REST API concepts, Powershell, SSIS, PowerBI Experience in database design, architecture, and warehousing Experience creating ETL/ELT processes to move data between internal and external sources using APIs, ETL. Fundamental understanding of Data Lakes, Data Catalogs, Hardware and Network Topology Experience with Object-Oriented Programming Languages such as Python, JavaScript, Java, C#, etc. Experience using data reporting and visualization tools (eg Cognos, SSRS, Qlik, Data Studio, Power BI, Tableau, etc.) Knowledgeable about a variety of job-related concepts listed below will help you be successful in this role and are some of the main duties of the position: Algorithmic concepts from at least one information-centric discipline (eg statistics, machine learning, information processing, natural language processing, etc.) Gathering data requirements from stakeholders Evaluating data collection for accuracy Data Governance concepts Mindful of practices, procedures and legal guidelines that govern PII and other sensitive data Ability to tackle complex problems with creative solutions when the path may not be clear.