Manager – Big Data Engineering – Wallet & Apple Pay -Austin


Job Overview

Key Qualifications

  • Demonstrated ability with ETL, BI & Data Analytics
  • 5+ years of professional experience with Big Data systems, pipelines and data processing
  • Deep expertise in Data Architecture, Data Modeling and task estimations
  • Practical hands-on experience with technologies like Apache Hadoop, Apache Pig, Apache Hive, Apache Sqoop & Apache Spark
  • Ability to understand API Specs, identify relevant API calls, extract data and implement data pipelines & SQL friendly data structures
  • Expertise in Python, Unix Shell scripting and Dependency driven job schedulers
  • Expertise in Core JAVA, Oracle, Teradata, Snowflake and ANSI SQL
  • Knowledge on Scala, Splunk and Data visualization tools such as Tableau is a plus
  • Ability to deliver consistent high quality results while working in a dynamic & fast paced environment with extreme attention to detail and skills to self-audit work
  • Passion for excellence across all disciplines
  • Description

    Lead, Mentor and Manage a pool of hardworking Big Data EngineersDesign and Build scalable data sets based on engineering specifications from the available raw data and derive business metrics/insights Understand and Identify server APIs that needs to be instrumented for data reporting and align the server events for execution in already established data pipelines Discover and understand complex data sets, identify and formulate correlational rules between heterogeneous data sources for effective analytics and reporting Successfully bridge engineering and business with ability to speak the common language of both Work hand in hand with the Platform and DevOps team for platform/tool improvements, supervising and alerting on various data pipelines and jobs

    Education & Experience

    Minimum of bachelor’s degree, preferably in Computer Science, Information Technology or EE, or relevant industry experience is helpful

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