DataJobs.io
← Back to all jobs
Scale Marketing

Data Engineer

Scale Marketing
Chicago, IL Full time Posted 29m ago
Analytics Big Data Bigdata Business Intelligence Data Data Analytics Data Architecture Data Engineer Data Integration Data Pipeline Data Pipelines Data Platform Data Processing Database Databases Engineer ETL Hadoop Hbase Hive Nosql Databases Spark SQL Streaming Data
Apply Now

Job Description

Scale Marketing is hiring a Data Engineer to expand and optimize its data pipeline architecture, data flow, and extraction/transform/load processes.

Responsibilities

  • Create and maintain optimal data pipeline architecture
  • Assemble large, complex data sets that satisfy functional and non-functional business requirements
  • Identify, design, and implement internal process improvements, including:
    • Automating manual processes
    • Optimizing data delivery
    • Redesigning infrastructure for greater scalability
  • Build infrastructure for extraction, transformation, and loading (ETL) from a wide variety of data sources using SQL and big data technologies
  • Develop analytics tools that leverage the data pipeline to deliver actionable insights into customer acquisition, operational efficiency, and other business performance metrics
  • Collaborate with stakeholders across Partner, Client, and Data teams to support data-related technical issues and data infrastructure needs
  • Keep data separated and secure across national boundaries through multiple data centers
  • Create data tools that support analytics and data scientists in building and optimizing products
  • Work with data and analytics experts to improve the functionality of data systems

Requirements

  • Advanced working SQL and experience with relational databases, including:
    • Query authoring (SQL)
    • Working familiarity with a variety of databases
  • Experience building and optimizing big data pipelines, architectures, and data sets
  • Ability to perform root cause analysis on internal and external data and processes to address business questions and identify improvement opportunities
  • Strong analytical skills with unstructured datasets
  • Experience building processes supporting:
    • Data transformation
    • Data structures
    • Metadata
    • Dependency and workload management
  • Proven history manipulating, processing, and extracting value from large disconnected datasets
  • Working knowledge of message queuing, stream processing, and highly scalable big data data stores
  • Project management and organizational skills
  • Experience supporting and working with cross-functional teams in a dynamic environment
  • 5+ years in a Data Engineer role
  • Graduate degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field
  • Experience with big data tools: Apache Hadoop, Apache Hive, Apache Spark, Apache Pig, etc.
  • Experience with at least three relational SQL and/or NoSQL databases: MongoDB, HBase, Oracle, SQL Server, Cassandra, Neo4j, Redis, and/or Riak
  • Experience with data pipeline/workflow management tools, including: Apache Kafka and/or Apache Spark, Azure DevOps, AWS Data Pipeline
  • Experience with at least one cloud service: AWS and/or Microsoft Azure
  • Experience with at least one stream-processing system: AWS Kinesis, Azure Stream Analytics, and/or Apache Flink, etc.
  • Experience with at least three object-oriented/object function/operating system scripting languages: Python, Java, Scala, C++, Linux/Unix, etc.

Location

  • Chicago, IL (onsite)

Technologies

  • SQL
  • Apache Hadoop, Apache Hive, Apache Spark, Apache Pig
  • MongoDB, HBase, Oracle, SQL Server, Cassandra, Neo4j, Redis, Riak
  • Apache Kafka, Azure DevOps, AWS Data Pipeline
  • AWS, Microsoft Azure
  • AWS Kinesis, Azure Stream Analytics, Apache Flink
  • Python, Java, Scala, C++, Linux/Unix

Similar Jobs