Data Integration Specialist
2 weeks ago
Job Summary:
TWO95 International is seeking a highly skilled Data Integration Engineer to join our team. As a Data Integration Engineer, you will be responsible for designing, developing, and maintaining scalable data pipelines to support our business operations. You will work closely with our analytics and business teams to improve data models and ensure data availability, usability, consistency, integrity, and security.
Responsibilities:
- 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 and guidelines to ensure data availability, usability, consistency, integrity, and security.
- 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.
- 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:
- Competitive salary and benefits package.
- Opportunities for professional growth and development.
- Collaborative and dynamic work environment.
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