Senior Data Engineer
Full-time
SFE
Role: Data Engineer
Location: Charlotte, NC/ Boston, Qunicy, MA/ Atlanta, GA/ OWING MILLS MD/ Blue Bell, PA/ Jacksonville, FL/ Seattle, WA/ Eden Prairie, MN/ Detroit, MI/ Irvine, Sunnyvale, CA/ Irving, TX/ Jersey City, NJ
Term: Full Time
Job Description
Must Have Technical/Functional Skills
- Data engineer experience, SQL, AWS, Python
- Data Engineering practices, combined with hands-on exposure to Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Vector Databases, and AI-driven data pipelines.
Roles & Responsibilities
Basic Qualifications
- 6+ years of data engineering experience
- 3+ year of experience working in a data engineering, data science, or software engineering capacity
- Expertise in writing and maintaining robust data pipelines in SQL and Python
- A track record of turning data requirements from stakeholders into actionable plans
- Experience with cloud-native solutions
- A history of implementing and upholding best practices in data pipelines, ensuring accuracy, consistency, and reliability
Preferred Qualifications
- Bachelor's degree, or Master's degree in computer science, statistics, information systems, or a related, technical field
- Experience with a scripting language (e.g., Python, Java, or R)
Preferred Qualifications
- 5+ years of experience in data warehousing, data modelling, and building/maintaining ETL/ELT pipelines at scale.
- Extensive experience with AWS, Google Cloud Platform (GCP), or Azure.
- Proficiency in Apache Spark, Kafka, NoSQL databases, and orchestration tools like Apache Airflow.
- Strong skills in Python, Java, or Scala.
- Deep knowledge of SQL and, specifically, experience with Snowflake, Data bricks, or Redshift.
Vacancy posted 2 days ago
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