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Data Architect (SQL, Python, R, Neo4j, API, Data Services)

Company: The Syllogisteks Company
Location: Chesterfield
Posted on: March 21, 2020

Job Description:

Must be able to work as our W2 employee This position is needed to design big data solutions for business data. The successful candidate will know the right technology and match data access patterns with best technology solutions and integrate heterogeneous environment into a single logical data layer. The Data Architect role is responsible for design and development of enterprise-class data solutions. This position will create technical design documents that map source to target, define transformation rules and ensure integration with the data warehouse.

Responsible for implementing our efforts around best fit data architecture using one or more database technologies to engineer back-end solutions and to provide operational support.

Heavy skills required in Oracle SQL, Neo4j, API & Data services.

Requires some IT Languages such as Spark, Amazon Web Services, Kafka.

Requires a degree or 3-5 years experience in field or related area.

  • BA/BS with a focus in Math, Statistics, Information Systems Management, Computer Science or GIS.
  • 5+ years of relevant development experience with recent experience in Python, R & SQL
  • 2+ years experience with working with geospatial datasets/GIS
  • Experience working with cloud tools such as AWS and Domino data science platform
  • Strong organizational skills, interpersonal skills, written and oral communications
  • Strong problem solving and proven project delivery skills
  • Demonstrated experience with global multi-disciplinary teams & learning the science
  • Creative, proactive, bold and out-of-box thinking

    Specifics around the project:

    • Integrate, transform, validate and reconcile large amounts of data.
    • Assemble and evaluate data such that new insights, solutions, and visualizations can be derived.
    • Exploratory data analysis, data cleaning & processing - Perform data discoveries to understand data formats, source systems, file sizes, etc. and engage with business partners in this discovery process.
    • Drive critical decision making by conducting various type of descriptive statistics and data quality analyses.
    • Directed and/or independent research to test scientific hypotheses
    • Identify trends / data quality issues / anomalies across large data sets, particularly in the area of machine data, and other agronomic management practices.
    • Evaluate the limitations of existing data sources and provide recommendations to address unmet data needs
    • Technologies: Domino, Airflow, Jenkins, Hadoop, Kafka, GraphQL etc.
    • Project description: Develop and implement new data pipeline solutions to support business strategies thru value driven prioritization & alignment with senior leadership

      Additional Info:

      • Will work with:

      • Data scientists and Analyst in the Field Solution Technologies Analytics and Data Pipeline team
      • Data Manager, Software Engineers, Design Analysts in the Field Solution Technologies Automation and Pipeline Connectivity Team
      • Data Manager and Data Engineers in the R&D IT Team
      • Protocol Manager and Field Trial Officers in the Field Solutions Regional teams
      • Position is open due to converting a contractor to an FTE & growth needed in the team
      • Initially, 90% building, 10% maintaining; That will change over time as the pipeline is built out.
      • Team Dynamic/Culture: The Field Solutions Technologies Team is a new team that has been created in Bayer Field Solutions. The Automation and Pipeline Connectivity (APC) Team which this Data Engineer will be part of will be working on transitioning the Legacy Bayer Field Testing systems into the Monsanto Field Testing platform in order to leverage the geospatial and analytical capabilities that exist in the platform. The expectations for the team are very high and Field Solutions is extremely excited about the transition. The team will need to think big and out of the box as we make this transition - the Bayer system has been used for 50 years, so this will be a challenging, yet transformational transition, which will have impact across the globe. We will be a fast paced and agile team and will need to leverage data and systems across Bayer and legacy Monsanto together to have the quick and valuable impact. Currently the APC team consists of 5 FTE and 2 contractors, with the goal to grow to about 8 FTE and 4 contractors this year.
      • If candidate is successful, this could transition into a full time position and responsibilities could evolve more to working on developing analytical models with Data Scientists and Analysts
      • Open to candidates who are willing to relocate.
      • Not open to remote workers at this time.
      • 60 min video conference or in person interviews.
      • Would like to review and interview candidates within the next 3 weeks. Would prefer to have start date be the beginning of April
      • No certifications are required.

Keywords: The Syllogisteks Company, Chesterfield , Data Architect (SQL, Python, R, Neo4j, API, Data Services), IT / Software / Systems , Chesterfield, Missouri

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