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2 дня назад

Lead Big Data Engineer (Databricks + AWS)

Формат работы
remote (только Poland)/hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Poland
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Lead Big Data Engineer (Databricks + AWS): Designing and developing scalable data platforms on AWS with an accent on Lakehouse architectures and real-time data processing. Focus on building optimized batch and streaming pipelines, defining architectural best practices, and mentoring engineering teams.

Location: Poland (Remote/Office)

Company

hirify.global is a global digital transformation company providing comprehensive software development and data analytics services.

What you will do

  • Design and optimize scalable data solutions on AWS using Databricks, Delta Lake, and Unity Catalog.
  • Develop batch and real-time processing solutions with Apache Spark, Flink, Kafka, and Kinesis.
  • Lead data integration and migration activities, including source-to-target mapping across multiple data sources.
  • Drive data platform architecture and engineering best practices to ensure scalability and maintainability.
  • Collaborate with business and technical stakeholders to translate requirements into implementation roadmaps.
  • Mentor data engineering teams and manage automated workflows via Airflow, MWAA, and Databricks Workflows.

Requirements

  • Proven experience as a Lead Data Engineer delivering scalable data platforms and pipelines.
  • Hands-on expertise with Apache Spark, Flink, Kafka, Amazon MSK, or Kinesis.
  • Strong proficiency in AWS and Databricks (Delta Lake, Unity Catalog, Workflows).
  • Advanced SQL skills combined with proficiency in Python, Scala, or Java.
  • Experience building and orchestrating data workflows using Airflow, MWAA, or Databricks Workflows.
  • English: Upper-intermediate (B2) or higher required.

Nice to have

  • Practical knowledge of Snowflake and Amazon Redshift.
  • Familiarity with Avro, GitHub, and SQL-based version control systems.

Culture & Benefits

  • Collaborative and innovation-driven engineering environment.
  • Opportunity to work with cutting-edge technologies in the Databricks ecosystem.
  • Active knowledge sharing within the professional engineering community.
  • Commitment to diversity and equal opportunity employment.

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