Data Engineer

New York, NY 10010

Industry: AWS, Data Engineer Job Number: 4449
We are looking for a strong data engineer who will contribute to  expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. Responsibilities:
    • Create and maintain optimal data pipeline architecture.
    • Assemble 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 using SQL and AWS technologies.
    • Work with stakeholders including the Executive, Product, and Business Intelligence to assist with data-related technical issues and support their data infrastructure needs.
    • Work with data and analytics experts to strive for greater functionality in our data systems.
Qualifications:
    • 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 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.
    • Working knowledge of message queuing, stream processing, and highly scalable data stores.
    • Experience supporting and working with cross-functional teams in a dynamic environment.
    • Experience using the following software/tools: 
    • Experience with big data tools: Hadoop, Spark, Kafka, etc.
    • Experience with relational SQL and NoSQL databases, including Postgres.
    • Experience with data pipeline and workflow management tools
    • Experience with AWS cloud services: EC2, EMR, RDS, Redshift
    • Experience with stream-processing systems
    • Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

Nicole Lowe
Recruiting Manager

As a born and raised New Yorker, it wasn’t a shock to anyone that she made her way back to the city after graduating from IU in 2012 (go Hoosiers!) A fellow camp friend referred her into the recruiting world right after graduation, and the rest, as they say, is history. When she’s not working you can find her shopping. Her claim to fame is that she was on Slime time live as a kid,  and was even one of a few who was chosen to get slimmed!

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