Data Engineer

3 weeks ago


Fairfield, United States HumanEdge Full time

Opportunity Description

As a Data Engineer, you will play a critical role in designing, developing, and maintaining our business intelligence solutions that enable data-driven decision-making and strategic planning across the organization. Your expertise in data modeling, ETL processes, and visualization tools will be vital in transforming raw data into actionable insights and driving business growth. Additionally, you will be responsible for integrating machine learning, artificial intelligence, and exploring new technologies to enhance reporting capabilities and provide advanced analytics solutions.

*This position is remote but requires onsite meetings once a quarter in Passaic County, NJ.

Company Information

Cosmetics Manufacturing

Job Duties

  • Data repository design and Architecture: Manage the design and the feeds for the data store (data lake / warehouse) and account for day-to-day analytics to support the Sales, Marketing, Manufacturing and Finance departments.
  • Database Management: Be proficient in working with relational databases (e.g., MySQL, PostgreSQL, SQL Server) and data manipulation using SQL.
  • Data Quality and Cleansing

Experience & Skills Required

  • 8+ years' experience architecting enterprise data solutions for strategic data initiatives and MDM as well as hands-on data design in large-scale and complex data solutions development projects.
  • In-depth experience in data architecture and design for large, complex enterprise data environments, for both structured and unstructured data.
  • Hands on experience developing end-to-end data pipelines, data products and data services.
  • Experience in owning a data platform (DW or Data /Delta Lake) as a service owner.
  • Experience architecting and delivering highly scalable and flexible, cost-effective enterprise data solutions.
  • Experience with data security and compliance.
  • Experience and with data lifecycle management, data-tiering, and data archiving.
  • Hands on experience with Data Warehouse, Data Lake and/or Lake House products such as Data Bricks, Snowflake, Microsoft Fabric. Experience with CDP's a plus.
  • Experience with data visualization tools such as Tableau, PowerBI.
  • Experience with ECommerce and Manufacturing business domains required.
  • Experience with direct sales / network marketing / MLM a big plus.


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