Senior Data Engineer (Remote)
RemoteUnited States
Job Summary
Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals. Solve complex data problems to deliver insights enabling farmers to advance data-driven decision-making capabilities. Create data products for analytics and data scientist team members to improve their productivity. Advise, consult, mentor, and coach other data and analytic professionals on data standards and practices. Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions. Partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects. Lead the evaluation, implementation, and deployment of emerging tools and processes for analytic data engineering to improve team productivity.
Required Qualifications
- Five years of experience working in data engineering or architecture role
- Expertise in SQL
- Experience with at least one programming language (Python or Scala)
- Experience developing and maintaining data warehouses in big data solutions
- Experience with developing solutions on cloud computing services and infrastructure in the data and analytics space
- Database development experience using Hadoop or BigQuery
- Experience with a variety of relational, NoSQL, and cloud database technologies
- Worked with BI tools such as Tableau, Power BI, Looker, Shiny or similar
- Conceptual knowledge of data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data
- Big Data Development experience using Hive, Impala, Spark, and familiarity with Kafka
- Familiarity with the Linux operating system
- Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field, or 8+ years relevant industry software development experience
Desired Qualifications
- Python or Scala
- Experience with developing solutions on cloud computing services and infrastructure in the data and analytics space
- Familiarity with the Linux operating system
- Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics
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