Analytics Engineer in Austin, TX at Consultis

Date Posted: 2/16/2018

Job Snapshot

Job Description

We are looking for and Analytics Engineer to join our Big Data team, which is focused on enabling advanced analytics supporting both product and business teams.  You will focus on making rich datasets/solutions available, understandable and extensible for several business and product teams in the company.

Responsibilities:

  • Build and support scalable and durable data solutions that can enable self-service advanced analytics using both traditional (SQL server) and modern DW technologies (Hadoop, Spark, Cloud, NoSQL etc.) in an agile manner.
  • Provide technical leadership to ensure that all delivered solutions and architecture adhere to industry best-practices for scalability, maintainability, usability, availability, extensibility, security, and portability
  • Participate in all aspects of the software life cycle, including analysis, design, development, unit testing, production deployment and support
  • Design highly performant systems and troubleshoot complex performance and scalability issues in production.
  • Efficiently integrate our big data infrastructure in the AWS cloud.
  • Ensure that the platform goes through Continuous Integration (CI) and Continuous Deployment (CD) with DevOps automation

Qualifications:

  • Bachelors or Master’s Degree in Computer Science or Engineering or related experience required.
  • 10+ years of experience working with data warehouses and are familiar with data warehousing concepts
  • 5+ years of experience driving technical architecture design
  • 3+ years of experience designing, building and operating distributed batch and stream/compute ETL data pipelines using technologies such as Kafka, Spark, Hadoop, Hive, Presto
  • 3+ years of programming language experience required, preferably in Scala, Python or Java
  • 2+ years of development experience with Amazon Web Services or similar cloud computing solution
  • Proven knowledge of big data querying tools (e.g. Hive, Spark SQL)
  • Demonstrated understanding of Meta data management principles, data architecture, data modeling, data governance, and data security
  • Experience in e-commerce or Internet industry preferred

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