AI Data Engineer

1 day ago


Troy, Michigan, United States Beacon Hill Full time
Job Title: AI Big Data Engineer

Beacon Hill is seeking a highly skilled AI Big Data Engineer to join our team. As an AI Big Data Engineer, you will play a critical role in designing, developing, and maintaining a Unified Data Platform.

Main Responsibilities:
  • Design and implement automated data pipelines to extract and process data from legacy platforms using tools like stored procedures and Glue processing.
  • Implement data-related business logic on modern data platforms such as AWS Glue, Databricks, and Azure using best practices and industry standards.
  • Create vector databases, data marts, and data models to support them.
  • Optimize and monitor performance, reliability, and security of data systems and processes.
  • Integrate and transform data from various sources and formats, such as structured, unstructured, streaming, and batch.
  • Develop and maintain data quality checks, tests, and documentation.
  • Support data analysis, reporting, and visualization using tools like SQL, Python, Tableau, and Quicksight.
  • Research and evaluate new data technologies and trends to enhance data solutions and capabilities.
Qualifications and Skills:
  • Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or a related field.
  • At least 5 years of experience in data engineering or a similar role (DBA experience is a plus).
  • Experience with big data frameworks and tools such as Spark, Hadoop, Kafka, and Hive.
  • Expert in SQL, with knowledge of efficient query and schema design, DDL, data modeling, and stored procedures.
  • Proficient in at least one programming language such as Python, Go, or Java.
  • Experience with CI/CD, containerization (e.g., Docker, Kubernetes), and orchestration (e.g., Airflow).
  • Experience building production systems with modern ETL/ELT and data platforms such as AWS Glue, Databricks, Snowflake, and Azure Cognitive Search.
  • Experience deploying data infrastructure on cloud platforms (AWS, Azure, or GCP).
  • Strong knowledge of data quality, governance, and security principles and practices.
  • Excellent communication, collaboration, and problem-solving skills.

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