Job Details

ID #17367654
State New York
City Liverpool
Job type Permanent
Salary USD TBD TBD
Source Modis
Showed 2021-07-27
Date 2021-07-26
Deadline 2021-09-24
Category Architect/engineer/CAD
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Lead Data Engineer

New York, Liverpool, 13090 Liverpool USA

Vacancy expired!

Lead Data Engineer Open to residents living in: NY, NJ, CT, DE, MA, PA, RI Modis has a great opportunity for a full time resource. We are looking for a accomplished pipeline-centric Data Engineer to join a growing team of analytics experts. The position will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company's data architecture to support our next generation of products and data initiatives.

Essential Functions and Responsibilities
  • Lead and develop sustainable data driven solutions with current and next gen data technologies to meet the needs of our organization and business customers
  • Design robust systems with an eye on the long-term maintenance and support of the application
  • Assemble large, complex data sets and data marts 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.
  • Leverage and establish standards across the team and organization
  • Develop within a hybrid-cloud-based data-processing architecture to integrate our data with third parties
  • Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs
  • Develop with a strong emphasis on security, reliability, fault tolerance and performance
  • Develop stream processing applications to process data in near real time
  • Build batch data pipelines to integrate disparate data sources in a central data warehouse to support business applications and analytics
  • Design new analytical and physical data models for analysis and optimization
  • Develop solutions within a data visualization technology or platform (e.g. Tableau, D3)
  • Provide technical guidance to team members
  • Help to enable team success through fostering a positive work environment
  • Required Skills and Experience
  • Advanced 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.
  • Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.
  • Strong project management and organizational skills.
  • Experience supporting and working with cross-functional teams in a dynamic environment.
  • We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a bachelor's degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
  • Experience with big data tools: Hadoop, Spark, Kafka, etc.
  • Experience with relational SQL and NoSQL databases like Snowflake, Oracle, Dynamo DB etc
  • Experience with data pipeline and workflow management tools: SSIS, Airflow, etc.
  • Experience with AWS cloud services: EC2, EMR, RDS, Redshift
  • Experience with programming languages: Python, C# etc.
  • Experience with a tool like DBT a plus
  • To learn more about this great fulltime opportunity, apply today or call Susan Duenkel at Sorry no third party vendors. MUST BE ABLE TO ACCEPT EMPLOYMENT WITHOUT SPONSORSHIP NOW OR IN THE FUTURE

    Equal Opportunity Employer/Veterans/Disabled

    To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://www.modis.com/en-candidate-privacy

    The Company will consider qualified applicants with arrest and conviction records

    Vacancy expired!

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