Data Engineer - Austin Texas

Company: Estaffllc
Location: Austin, Texas
Posted On: 01/07/2025

We are seeking a Data Engineer work on our W2 from anywhere in Texas for a long-term assignment. We cannot work with C2C candidates or provide sponsorship. Must currently live in Texas.

Ready to make your application Please do read through the description at least once before clicking on Apply.


JOB DESCRIPTION:
The Data Engineer will be pivotal 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 and enabling seamless integration with various tools and systems.


Key Responsibilities:
Data Architecture: Develop, construct, test, and maintain data architectures, including databases and large-scale 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: Bachelor's 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 problem-solving skills.
Excellent communication and interpersonal skills.
Ability to learn new technologies and tools quickly.
Attention to detail and commitment to quality. More...

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