Job Information
Two95 International Inc. Data Integration Engineer in United States
Title: Data Integration Engineer
Duration: 1+ Year Contract
Location: 100% REMOTE Work
Rate: $Open/hr.
Requirements
Responsibilities
Develop, test, document and maintain scalable data pipelines.
Build out new data integrations including APIs to support continuing increases in data volume and complexity.
Establish and follow data governance processes and guidelines to ensure data availability, usability, consistency, integrity, and security.
Build and implement scalable solutions that align to our data governance standards and architectural road map for data integrations, data storage, reporting, and analytic solutions.
Collaborate with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization.
Design and develop data integrations and a data quality framework. Write unit/integration/functional tests and document work.
Design, implement, and automate deployment of our distributed system for collecting and processing streaming events from multiple sources
Perform data analysis required to troubleshoot data-related issues and assist in the resolution of data issues.
Guide and mentor less experienced engineers on coding best practices and optimization.
Qualifications:
Education: 4-year college degree or equivalent combination of education and experience. Prefer academic background in in Computer Science, Mathematics, Statistics, or related technical field.
7 years of relevant work experience in analytics, data engineering, business intelligence or related field.
Skilled in object-oriented programming (Python in particular).
Experience developing integrations across multiple systems and APIs.
Experience with or knowledge of Agile software development methodologies.
Experience with cloud-based databases, specifically AWS technologies (e.g. Redshift, RDS, S3, EMR, EC2, Kinesis).
Experience using SQL queries as well as writing and optimizing SQL queries in a business environment with large-scale, complex datasets.
Experience with data warehouse technologies. Experience creating ETL and/or ELT jobs.
Excellent problem solving and troubleshooting skills.
Process oriented with great documentation skills.
Experience developing in a Linux environment.
Experience designing data schemas and operating SQL/NoSQL database systems is a plus.
Experience with Big Data tools like Spark, Hadoop, Kafka, etc. is a plus.
Benefits
Note: If interested please send your updated resume to joseph.prabakar@two95intl.com and include your rate requirement along with your contact details with a suitable time when we can reach you. If you know of anyone in your sphere of contacts, who would be a perfect match for this job then, we would appreciate if you can forward this posting to them with a copy to us.