Data Engineer CloudGen AI
5 days ago
Manifest Solutions is seeking a skilled Data Engineer to design, build, and maintain scalable and robust data pipelines and architectures. The ideal candidate will have experience with data extraction, cleansing, standardization, and transformation, as well as ensuring data accuracy, consistency, and accessibility. This role requires collaboration with data scientists, analysts, and product teams to deliver data solutions that meet user needs and expectations. Additionally, the successful candidate will troubleshoot and resolve data issues and defects, and research new data technologies and tools to enhance skills and improve data quality.
Requirements:
Bachelor's Degree in Computer Science, Engineering, Mathematics, or related field
At least 5 years of experience in data engineering, data pipeline development, and ETL processes
Proficient in one or more data processing and storage technologies, such as Apache Spark/PySpark, Hadoop, or Amazon Redshift
Experience with Python for data core modernization and data ingestion
Experience with data pipeline frameworks and tools, such as Apache Airflow, Luigi, or AWS Glue
Experience with data engineering, data warehousing, and ETL processes
Strong proficiency in SQL and database design principles
Excellent communication, creativity, and problem-solving skills
Preferred Requirements:
Experience with Cloud using Amazon Web Services (AWS), Microsoft Azure, and/or Google Cloud Platform (GCP)
Understanding of emerging technologies (such as Generative AI) and advanced data architectures (e.g., Multimodal Data Management & Model Design, Data Mesh, Data Fabric, Data Products, etc.)
Understanding of the benefits of data warehousing, data architecture, data quality processes, data warehousing design and implementation, table structure, fact and dimension tables, logical and physical database design, data modeling, reporting process metadata, and ETL processes
Experience with testing frameworks and tools, such as PyTest, Unittest, or Selenium
Experience designing and implementing reporting and visualization for unstructured and structured data sets
Experience with batch processing and real-time streaming ingestions
Certifications or degrees in data engineering, computer science, or related fields
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