Data Engineer - Hill's Pet Nutrition (Westwood)

Compensation

: $106,390.00 - $159,250.00 /year *

Employment Type

: Full-Time

Industry

: Information Technology



Responsibilities for Data Engineer

  • Create and maintain optimal data pipeline architecture,
  • Assemble large, complex data sets that meet functional / non-functional business requirements.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
  • Assist with data-related technical issues and support their data infrastructure needs.
  • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
  • Work with data and analytics experts to strive for greater functionality in our data systems.
  • Qualifications for Data Engineer

  • We are looking for a candidate with 0-4 years of experience in a Data Engineer role
  • Bachelors degree required, Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field is preferred
  • Working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
  • Experience building and optimizing big data data pipelines, architectures and data sets.
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Strong analytic skills related to working with unstructured datasets.
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management.
  • A successful history of manipulating, processing and extracting value from large disconnected datasets.
  • Experience supporting and working with cross-functional teams in a dynamic environment.
  • They should also have experience using the following software/tools: Experience with relational SQL and NoSQL databases: MongoDB, Neo4j, etc Experience with cloud services: GCP, AWS, etc Experience with object-oriented/object function scripting languages: Python, Java, etc. Experience with big data tools: Hadoop, Spark, Kafka, etc. Experience with Data Flow, Data Pipeline and workflow management tools: Cloud Composer, Airflow, Luigi,etc.
  • Equal Opportunity Employer
    Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law.


    Associated topics: data integration, data quality, data scientist, data warehouse, data warehousing, erp, hbase, mongo database administrator, sql, sybase * The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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