Data Engineer

Salary depends on experience
Posted on 10/14/17
Los Angeles, CA
5 - 7 years experience
IT Consulting/Services
Salary depends on experience
Posted on 10/14/17

As a Data Engineer for Slalom Consulting, you'll work in small teams to deliver innovative solutions on Amazon Web Services, Azure using core data warehousing tools, Hadoop, Spark, Event Stream platforms, and other big data related technologies. In addition to building the next generation of data platforms, you'll be working with some of the most forward-thinking organizations in data and analytics. 

Qualifications:

·    Bachelor’s degree in Computer Engineering, Computer Science or related discipline

·    Minimum 5-7 years relevant experience

·    Understanding of distributed systems and architecture design trade-offs

·    Ability to solution for big and small data problems

·    Understand different types of storage (filesystem, relation, MPP, NoSQL) and working with various kinds of data (structured, unstructured, metrics, logs, etc.)

·    4+ years of experience working with SQL

·    Experience with setting up and operating ETL pipelines using Python or Scala or SQL

·    2 years of experience on AWS or similar Cloud platform

·    2-3 years of experience working with big data technologies such as Hadoop, MapReduce, Apache Spark preferably on the cloud

·    Experience working with relational databases

·    Strong analytical problem-solving ability

·    Good presentation skills

·    Good written and verbal communication skills

·    Self-starter with the ability to work independently or as part of a project team

·    Capability to conduct performance analysis, troubleshooting and remediation

Nice to have:

·    Experience working with streaming technologies such a Kafka, Kinesis 

·    Experience working with MPP databases such as Teradata, Netezza, Redshift

·    Experience with NoSQL Databases

·    Exposure to ETL tools such as Informatica, Talend etc.

·    Development experience with reporting tools such as Tableau, Qlik, Looker

JO-1709-1820

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