| Data Engineer 2 Cleveland, OH (Hybrid) local only at Cleveland, Ohio, USA |
| Email: [email protected] |
| From: Shubhra Soni, Sonitalent [email protected] Reply to: [email protected] Hi, Hope you are doing well, We are looking for Data Engineer 2 if you are interested kindly send me your resume Job Title Data Engineer 2 Location Cleveland, OH (Hybrid) (3 Days onsite) Duration of project 6 months+ Mode of Interview Video Job Summary: As a member of the Enterprise Information Management and Analytics (EIMA) team within the IT department, a Data Engineer 2 has direct impact on important initiatives that enable our business by architecting, designing, and implementing advanced analytics capabilities. Working in an agile team environment and under general supervision, the Data Engineer 2 collaborates with data scientists, data analysts, product teams, and other stakeholders to translate business requirements to technical specifications and coded data pipelines. Primary responsibilities include design, build, and maintenance of custom data pipelines for the extraction, transformation, and loading ETL (Extract, Transform, Load) of data from a variety of data sources. Navigates existing data stores, handles large and complex data sets and uses unstructured data to solve business challenges. Utilizes excellent communication skills, seeks out challenges and has a strong desire to continually improve their knowledge and skills. Qualifications/Experience/Certification/Education: 1. 3+ years of work experience in data management disciplines including data integration, modeling, data security, and data quality, and/or other areas directly relevant to data engineering responsibilities and tasks. 2. Highly skilled at systematically applying logical reasoning techniques to query, inspect, cleanse, profile, and study data in structured, semi-structured, and unstructured formats for the purpose of deriving of knowledge to support business decision-making and mapping data between source and target systems to support application integrations. 3. Highly skilled at SQL Programming with the ability to perform the most complex queries against relational databases in an efficient manner. 4. Skilled at Python programming core concepts and using Python frameworks (e.g., Django, Flask) and libraries. 5. Skilled at creating data extracts or loads by selecting data to match consumer needs and creating data pipelines to feed required environments or AI/ML models with little to no transformation. 6. Skilled in developing secure Application Program Interface (API) bridges between systems or applications. Includes using varying protocols (e.g., SOAP, REST). Experience with MuleSoft platform a plus. 7. Skilled at writing moderate to complex scripts to automate manual, repeatable tasks using common industry tools (i.e., Python, Powershell and Bash). 8. Knowledgeable at defining and implementing processes to automate code deployment through the development life cycles using widely accepted tools (i.e., Jenkins, Kubernetes, Docker). 9. Knowledgeable at building conceptual, logical and physical data models which are visual representations of an enterprise's business data. Experience with ErWin or other modeling tools a plus. Ability to build and modify simple data models. 10. Bachelors degree in Information Technology, Computer Science, Engineering, Mathematics or related field or commensurate experience. Responsibilities/Essential Functions: 1. Designs, builds, and maintains custom data pipelines and ETL processes in support of business and Data Scientist needs and initiatives. 2. Partners with data analysts, data scientists, and other data consumers across IT and the business to optimize data availability with intention to build, refine and enhance AI/ML models and algorithms. 3. Drives continuous improvement in data pipelines and partners with others across IT to ensure both timely availability and security of data. 4. Supports daily operations via analyzing and correcting incidents and defects in a timely fashion. 5. Enables data consumption via visualization tools or APIs. 6. Serves as a peer mentor to less experienced Data Engineers. Physical Requirements (specific to the role) The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Ability to work effectively in an office or hybrid work environment for 40+ hours per week (including sitting, standing, and working on a computer for extended periods of time). Ability to communicate effectively in a collaborative work environment utilizing various technologies such as: telephone, computer, web, voice, teleconferencing, e-mail, etc. Ability to respond to emergency service calls at any time outside of normally assigned work hours. Ability to travel as required Thanks & Regard Shubhra Soni Technical Recruiter| Sonitalent Corp. Email id : [email protected] Desk | (859) 659 - 3432 EXT 211 Address - 5404 Merri brook Lane, Prospect, KY, USA Keywords: artificial intelligence machine learning information technology Idaho Kentucky Ohio Data Engineer 2 Cleveland, OH (Hybrid) local only [email protected] |
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| Thu Mar 28 02:05:00 UTC 2024 |