Sr. Programmer Analyst (Data Engineer)
AutoZone
Chihuahua, Chihuahua, Mexico
hace 1 día

Job Summary

AutoZone is a leading aftermarket auto parts retailer. We are a very data driven organization and data management team plays an important role in supporting all our business analysts.

We are looking for an experienced software engineer who can build integration solutions and support data systems managed by the data management team.

Job Responsibilities

Participate in any and potentially all roles of the systems development life cycle. Roles may vary by project and assignment.

This may include, but not limited to :

  • Good communication skills including the ability to translate business requirements into detailed technical requirements
  • Develop, plan and / or maintain software applications and / or systems; debug, design, code, test, write specifications, roll-out software, and production support.
  • Engineer data integration solutions between IOT devices, stores and services.
  • Research and / or investigate new technologies, perform Proof of Concept (POC) as per the directions from the Architecture team.
  • Accurate work planning and execution; accurate project and time tracking.
  • Responsible for the development of less experienced AutoZoners; mentor and teach.
  • Responsible for defining code specifications and how systems will be constructed.
  • Conduct code reviews.
  • Qualifications and Skill Requirements

  • Bachelor’s degree in Computer Science or related field preferred.
  • Typically requires 5 8 yrs.’ experience based on consistently demonstrated capabilities.
  • Required technical skills :
  • Languages : Proficiency in Java or other alternative languages. Setup and administering environments involving the language.
  • Very good understanding of SOA, Microservices or Enterprise Application Integration Patterns (EAI).
  • Databases : Proficient in writing SQL queries against RDBMS, conceptual understanding of RDBMS (Oracle preferred).
  • Data Warehousing : Conceptual knowledge of DW and industry best practices, building ETL pipelines (Knowledge of cloud data warehousing preferred).
  • Preferred) Big Data Technologies : Proficient in one of the big data and streaming technologies -
  • oApache Hadoop.

    oApache Kafka, Apache Flume.

    oMPP Databases such as Greenplum, HP Vertica (or) Cloud Databases such as BigQuery or Snowflake (BigQuery preferred).

  • OS : Proficient in working with Unix / Linux and shell scripting.
  • Experience in working on Waterfall or Agile development (Agile preferred).
  • Advanced problem solving, domain technical and analytical skills.
  • Subject matter expertise in more than one functional area (Retail preferred).
  • Teaching, coaching and mentoring.
  • Advanced system estimation, planning and execution skills.
  • Often provides technical supervision to others.
  • To deliver desired, sustainable business outcomes and assure the integrity and continuity of our systems. This position is responsible for designing and building data structures and architectures for data ingestion, processing, and deployment for large-scale data-intensive applications.

    To build pipelines for data collection and storage, to funnel the data to the data analysts and scientists and to put the model into production.

    To lead a team of engineers in building the data pipeline framework involving on-prim and cloud environments. It also includes teaching domain expertise, providing technical guidance and mentoring, supporting the customers, resolving problems, and training as required.

    Job Responsibilities

    Participate in any and potentially all roles of the systems development life cycle. Roles may vary by project and assignment.

    This may include, but not limited to :

  • Good communication skills including the ability to translate business requirements into detailed technical requirements
  • Develop, plan and / or maintain software applications and / or systems; debug, design, code, test, write specifications, roll-out software, and production support.
  • Engineer data integration solutions between IOT devices, stores and services.
  • Help the DevOps team build CI / CD pipelines for testing and deploying data pipeline solutions.
  • Research and / or investigate new technologies, perform Proof of Concept (POC) as per the directions from the Architecture team.
  • Accurate work planning and execution; accurate project and time tracking.
  • Responsible for the development of less experienced AutoZoners; mentor and teach.
  • Responsible for defining code specifications and how systems will be constructed.
  • Conduct code reviews.
  • Qualifications and Skill Requirements

  • Bachelor’s degree in Computer Science or related field preferred.
  • Typically requires eight to fifteen years’ experience based on consistently demonstrated capabilities.
  • Advanced proficiency with latest Big Data technologies including one or more of the following : Hadoop Technology Stack, Apache Flume, Apache Kafka, Apache NiFi, etc.
  • Experience in working with products related to data engineering offered by public cloud vendors, GCP preferred.
  • Required technical skills : Languages : Proficiency in one of these : Java, Python, Go. Setup and administering environments involving them.
  • Very good understanding of SOA, Microservices and Enterprise Application Integration Patterns (EAI). Databases : Proficient in writing SQL queries against RDBMS, conceptual understanding of RDBMS (Oracle preferred).

    Data Warehousing : Conceptual knowledge of DW and industry best practices, building ETL pipelines (Knowledge of cloud data warehousing preferred).

    Big Data Technologies : Proficient in one of the big data and streaming technologies - Apache Hadoop. Apache Kafka, Apache Flume.

    MPP Databases such as Greenplum, HP Vertica (or) Cloud Databases such as BigQuery or Snowflake (BigQuery preferred).

  • OS : Proficient in working with Unix / Linux and shell scripting.
  • Experience in working on Waterfall or Agile development (Agile preferred).
  • Advanced problem solving, domain technical and analytical skills.
  • Subject matter expertise in more than one functional area (Retail preferred).
  • Teaching, coaching and mentoring.
  • Advanced system estimation, planning and execution skills.
  • Often provides technical supervision to others.
  • LI-LB

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