Data Engineer
Data Engineer
Posted on :
30-11-2024
Employer Active
1 Vacancy
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Job Description
Data Engineer
Austin TX (Remote within TX)
6 months Contract with possibility to extension
The Data Engineer will play a pivotal role in designing developing and maintaining robust data architectures to support data science initiatives. This individual will be responsible for ensuring data quality reliability and efficiency as well as enabling seamless integration with various tools and systems.
Key Responsibilities:
- Data Architecture: Develop construct test and maintain data architectures including databases and largescale processing systems.
- Data Quality: Recommend and implement strategies to enhance data reliability efficiency and quality.
- Data Unification: Enable the integration of disparate data sets using various languages and tools to prepare data for correlation by data scientists.
- Data Support: Provide effective data architectures that meet the needs of data scientists stakeholders and business environments.
- Integration: Facilitate integration capabilities for external tools to perform data ingestion compilation analytics and visualization.
Required Qualifications:
- Data Engineering Experience: 7 years of experience in Data Engineering or a related technical field.
- Expertise in SQL Python and Informatica ETL development
- Data Modeling: Strong proficiency in data modeling techniques.
- Data Management: Ability to identify and implement the most suitable data management systems.
- Data Quality: Expertise in ensuring data quality and cleanliness even when working with disordered data sets.
- Technical Skills: Demonstrated proficiency in a wide range of technical tools and technologies including Snowflake Informatica IICS GitHub Oracle ETL development and Python.
- Education: Bachelors degree in statistics mathematics computer science or engineering.
Additional Skills:
- Scripting: Proficiency in scripting languages for managing data flows and pipelines.
- Data Validation: Expertise in data query and validation techniques.
- Strong analytical and problemsolving skills.
- Excellent communication and interpersonal skills.
- Ability to learn new technologies and tools quickly.
- Attention to detail and commitment to quality.
Employment Type
Full Time
Key Skills
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