Big Data Engineer – Wallet & Apple Pay – Austin


Job Overview

Key Qualifications

  • 5+ years of professional experience with Big Data systems, pipelines and data processing
  • 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
  • Identify Data Validation rules and alerts based on data publishing specifications for data integrity and anomaly detection
  • Understanding on various distributed file formats such as Apache AVRO, Apache Parquet and common methods in data transformation
  • Expertise in Python, Unix Shell scripting and Dependency driven job schedulers
  • Expertise in Core JAVA, Oracle, Teradata and ANSI SQL
  • Familiarity with rule based tools and APIs for multi stage data correlation on large data sets is a plus
  • Description

    Translate business requirements by business team into data and engineering specificationsBuild 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 analytics and align the server events for execution in already established data pipelines Explore and understand sophisticated data sets, identify and formulate correlational rules between heterogenous sources for effective analytics and reporting Process, clean and validate the integrity of data used for analysis Develop Python and Shell Scripts for data ingestion from external data sources for business insights

    Education & Experience

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

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