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7 дней назад

Data Engineer III (Spark)

110 302 - 180 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Engineer III (Spark): Building scalable distributed data pipelines, ETL solutions, data models, and cloud-based analytics systems with an accent on Spark optimization, Azure and Google Cloud platforms, workflow orchestration, and data governance. Focus on designing efficient data flows, solving system integration challenges, automating workflows, and deploying tested solutions to production.

Location: 811 Excellence Dr., Bentonville, AR 72716, United States

Salary: $110,302.00–$180,000.00 per year, plus annual or quarterly performance incentives.

Company

hirify.global is Walmart's advertising technology organization.

What you will do

  • Analyze business problems and requirements using analytics, big data analytics, and automation.
  • Extract, transform, validate, and model data from databases and cloud systems.
  • Design and develop scalable distributed data pipelines, ETL solutions, data warehouses, data marts, and efficient data flows.
  • Analyze data dependencies, relationships, system integration challenges, and data quality issues.
  • Write, test, document, and deploy code and application features; create proofs of concept, playbooks, and training documentation.
  • Support data governance, troubleshoot systems, oversee less experienced programmers, and provide progress updates and expert guidance.

Requirements

  • Master’s degree or equivalent in Computer Science, Engineering, or a related field; or a bachelor’s degree or equivalent in one of these fields plus 2 years of software engineering or related experience.
  • Experience analyzing business requirements, performing data analysis, and developing technical design documents with product and data teams.
  • Experience designing and building scalable distributed data pipelines and ETL solutions using Spark, Hadoop, Hive, Azure Databricks, Azure Data Factory, Azure Blob Storage, GCP Dataproc, and BigQuery.
  • Experience developing data solutions with object-oriented programming in Python or Scala, automating workflows with Python and shell scripting, and building lightweight ETL frameworks.
  • Experience optimizing Spark Core, Spark SQL, and Spark Streaming applications; implementing pipelines on Microsoft Azure, Databricks, Google Cloud Platform, and BigQuery.
  • Experience orchestrating workflows with Apache Airflow, Azure Data Factory, GCP Cloud Composer, Automic, or Oozie.
  • Experience establishing CI/CD pipelines with GitHub, Jenkins, JFrog, or Artifactory and managing code with Git-based version control.
  • Experience writing optimized SQL for data extraction, transformation, and warehousing, including Hive and BigQuery, and designing data models across RDBMS and cloud systems.
  • Experience collaborating with cross-functional teams and applying Agile and Waterfall methodologies; the employer will accept any amount of experience with the required skills.

Culture & Benefits

  • Full-time employment in Bentonville, Arkansas.
  • Medical, vision, and dental coverage; 401(k), stock purchase plan, and company-paid life insurance.
  • Paid time off including sick leave, parental leave, family care leave, bereavement, jury duty, and voting leave.
  • Short- and long-term disability, education assistance including 100% company-paid college degrees, company discounts, military service pay, and adoption expense reimbursement.
  • Benefits may depend on job classification and length of employment and are subject to plan terms and change.
  • Equal opportunity and drug-free workplace policies apply.

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