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Data Integration Engineer

Roles & Responsibilities

  • 4-year college degree or equivalent in Computer Science, Mathematics, Statistics, or a related technical field, with at least 7 years of relevant experience in analytics, data engineering, business intelligence, or a related field.
  • Strong Python programming skills and experience with object-oriented design.
  • Experience developing integrations across multiple systems and APIs, and familiarity with Agile software development methodologies.
  • Experience with cloud-based AWS data services (Redshift, RDS, S3, EMR, EC2, Kinesis) and SQL in large-scale data environments.

Requirements:

  • Develop, test, document, and maintain scalable data pipelines.
  • Build out new data integrations including APIs to support increasing data volume and complexity.
  • Establish and follow data governance processes to ensure data availability, usability, consistency, integrity, and security.
  • Design and implement scalable data integration solutions aligned to the data governance standards and architectural road map for data integrations, storage, reporting, and analytics.

Job description

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.

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