Overview
Hybrid
$45
Full Time
Skills
Data management
Data quality
Data modeling
Informatica
SQL
Python
Snow flake schema
Visualization
Oracle
Problem solving
Analytical skill
Analytics
Attention to detail
Communication
Job Details
We seek a Data Engineer to work on our W2 from anywhere in Texas for a long-term assignment.
We cannot work with C2Cs.
JOB DESCRIPTION:
We are looking for Data engineers who currently live in Texas only.
The Data Engineer will be pivotal in designing, developing, and maintaining robust data architectures to support data science initiatives. This individual will ensure data quality, reliability, and efficiency and enable 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 various 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.