Senior Data Engineer
5 days ago
About the Role
">JobRialto is seeking a skilled Senior Data Engineer to join our team at our San Antonio or Plano campus. This role involves working on-site, focusing on data engineering tasks including real-time data ingestion and validation using tools like Snowflake, Kafka, and DBT.
">About You
">We are looking for an experienced professional with 6+ years of experience in data engineering and data movement, strong proficiency in SQL, and expertise in Snowflake and Kafka. Familiarity with DBT for data transformation is also essential.
">The ideal candidate will have hands-on experience with mid to large-sized development projects, a strong attention to detail, and effective documentation and validation skills.
">Your Key Responsibilities
">- ">
- Design and develop high-quality, scalable, and efficient solutions on schedule.">
- Support the creation of unit tests to ensure accuracy and reliability of deliverables.">
- Identify and resolve high-risk areas to ensure project success.">
- Provide timely and accurate updates on the status of technical tasks.">
- Ensure alignment of project goals with development objectives.">
- Document processes and suggest improvements under the guidance of senior team members.">
- Migrate near real-time data from source systems to the Snowflake database using Kafka.">
- Perform data validation and maintain documentation for processes and workflows.">
About the Compensation
">The estimated annual salary for this position is $140,000-$180,000, depending on experience and qualifications.
">What We Offer
">At JobRialto, we offer a competitive compensation package, opportunities for career growth, and a collaborative work environment.
">Requirements
">- ">
- 6+ years of experience in data engineering and data movement.">
- Strong proficiency in SQL (6+ years).">
- Experience with Snowflake and Kafka.">
- Familiarity with DBT for data transformation.">
- 3+ years of experience with Python (preferred but not mandatory).">
Preferred Qualifications
">- ">
- Experience in ingesting data using Kafka and working with real-time data processes.">
- Strong attention to detail with effective documentation and validation skills.">
- Familiarity with working in collaborative on-site environments.">
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