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Senior Data Engineer (Apache Spark)

90 000 - 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
Senior Data Engineer (Apache Spark): Building scalable data pipelines, data models, and integrations across cloud, big data, and analytical data platforms with an accent on Apache Spark, Hadoop, SQL/NoSQL, ETL, and Google Cloud Platform. Focus on designing data warehouse and data mart structures, solving data integration and quality challenges, and supporting automated production workloads with Airflow, Oozie, Jenkins, and Git.

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

Salary: $90,000–$180,000 per year, plus annual or quarterly performance incentives.

Company

hirify.global is Walmart’s advertising technology business.

What you will do

  • Design and implement data applications, pipelines, transformations, integrations, and automated data loads.
  • Work with SQL and NoSQL databases, distributed datastores, data warehouses, data lakes, and enterprise big data platforms.
  • Develop conceptual, logical, and physical data models, including data warehouse and data mart designs, relational tables, keys, and stored procedures.
  • Analyze data quality, data flows, dependencies, system integrations, and modeling discrepancies; propose appropriate solutions.
  • Apply ETL, streaming ingestion, APIs, crawlers, preprocessing, analytics, automation, and cloud technologies to business data problems.
  • Oversee less experienced programmers, provide troubleshooting support, create training documentation, and train end users on data modeling.

Requirements

  • Master’s degree or equivalent in Computer Science or a related field plus 1 year of experience in software engineering, data engineering, database engineering, business intelligence, business analytics, or a related field; or a Bachelor’s degree or equivalent plus 3 years of such experience.
  • Experience designing and implementing applications with Apache Spark.
  • Experience with Hadoop ecosystem components, including Hadoop, HDFS, YARN, TEZ, and MapReduce, and writing Hive applications with Hive query language.
  • Experience building Unix shell scripts and scheduling production jobs with Apache Airflow and Oozie.
  • Experience using Google Cloud Platform for application execution with clusters and data management.
  • Experience with Maven and SBT deployment tools, Jenkins-based CI/CD pipelines, and Git source control.
  • Experience with Agile methodologies, JIRA/Scrum, project management activities, and requirements gathering from multiple teams for project increment planning.
  • Any amount of experience with the required skills will be accepted.

Culture & Benefits

  • Full-time employment with medical, vision, and dental coverage.
  • Financial benefits include 401(k), stock purchase opportunities, and company-paid life insurance.
  • Paid time off includes PTO, sick leave, parental leave, family care leave, bereavement, jury duty, and voting leave.
  • Additional benefits include short- and long-term disability, education assistance with company-paid college degrees, discounts, military service pay, and adoption expense reimbursement.
  • Benefits and eligibility may depend on job classification and length of employment and are subject to plan terms and change.
  • A drug-free workplace and zero-tolerance policy for illegal drugs and alcohol apply to employees.

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