| Urgent Requirement || Data Integrator || Plano or Frisco, TX (Hybrid) || 6+Months at Frisco, Texas, USA |
| Email: [email protected] |
| From: Suraj Prashar, Pivotal [email protected] Reply to: [email protected] Hi, Hope you are doing great!! Please find the requirement below, If you find yourself comfortable with the requirement please reply back with your updated resume and I will get back to you or I would really appreciate if you can give me a call back at my contact number (703) 570-8775 * (Ext. 232). Job Title: Data Integrator Location: Plano/Frisco, TX (Hybrid) Duration: 6+ Months Visa Type: NO H1 Job Description:- Qualification Metrics/Additional Skills (Required Skills) Data Engineering Developing ETL Pipelines IICS AWS Data Warehouses Preferred Skills: AS Certified Data Analytics A Data Integrator works alongside Information & data Architects, Engineers, Data Scientists, and other stakeholders to design and maintain moderate to advanced data models. The Data Integrator is responsible for designing, building, and maintaining large-scale databases that support web applications and other digital services. The Data Integrator is responsible for developing ETL data pipelines and supporting reports that provide accurate and timely data for internal and external clients. This role requires familiarity of data architecture and extraction & manipulation of data sets of various sizes. Position Responsibilities: Design and Methodology Design, implement and operate medium to large-scale, high-volume, high-performance data structures for reporting, analytics, and data science. Write and refine code to ensure performance and reliability of data extraction and processing. Implement data ingestion routines both real time and batch using best practices in data modeling, ETL/ELT processes by leveraging best ETL data tools. Design, develop, manage and build real-time data pipelines from a variety of sources Design, build, test and document solutions to track data quality, performance, validation, stabilize data pipeline, etc. to ensure reliable operations. Technical Consulting Gather business and functional requirements and translate these requirements into robust, scalable operable solutions with a flexible and adaptable data architecture. Collaborate with engineers to help adopt best practices in data system creation, data integrity, test design, analysis, validation, and documentation. Coordination with other teams to design optimal patterns for data ingest and egress and coordinate data quality initiatives and troubleshooting. Participate in sprint planning meetings as needed. Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions. Continually improve ongoing reporting and analysis processes, automating or simplifying self-service modeling and production support for customers. Review and are familiar with automated processes for performance and fault tolerance. Design and implement security measures to protect data from unauthorized access or misuse. Administration/Support Keeps management informed of status of on activities through accurate, timely, and appropriate reporting. Contribute to Data Governance, system documentation and sharing of data asset knowledge. Position Qualifications: Bachelor's Degree in computer science, engineering or in a technology related field OR equivalent through a combination of education and/or technology experience OR 12 years of technology experience 5 years of experience in Data Engineering, architecting and developing end-to-end scalable data applications and data pipelines 6 years of experience using Informatica with 3 years IICS experience in extracting, transforming/manipulating, and loading data sets using programming (e.g., Python) or querying languages (SQL) 5 years of working knowledge of different databases (e.g., SQL & NoSQL) and AWS cloud technologies 4 years of experience developing strong collaborative relationships with key data, business partners 3 years of experience working with software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes and testing 2 years of experience working in enterprise data warehouse solutions and platforms Licenses/Certificates: Preferred, Amazon Web Services (AWS) Certified Data Analytics Keywords: Texas |
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| Fri Dec 15 22:58:00 UTC 2023 |