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lead big data engineer with databricks

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Data Software Engineering, Amazon Web Services, Apache Airflow, Apache Spark, Data Warehousing, Databricks, SQL
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Sorry the job is no longer available.

We are looking for a remote Lead Big Data Engineer with Databricks experience to join our growing team.

The ideal candidate should have a Bachelor's/Master's Degree in Computer Science, Information Systems, or equivalent and at least 5 years of experience in a similar role with advanced SQL coding skills, data warehousing experience, and expertise in building event-driven scalable and resilient systems. The candidate should be proficient in software development lifecycle (SDLC) methodologies like Agile and implement solutions utilizing Data Lake.

responsibilities
  • Develop and implement solutions utilizing Data Lake
  • Design and manage the company's big data infrastructure and architecture
  • Ensure quality control, testing, and deployment of Big Data solutions
  • Collaborate with cross-functional teams to identify and execute improvements to our data processing architecture
  • Mentor and lead junior team members
requirements
  • Bachelor's/Master's Degree in Computer Science, Information Systems or equivalent
  • 5+ years of experience in a similar role with experience in Data Software Engineering and Databricks
  • 1+ years of relevant leadership experience
  • Advanced SQL skills and experience with Data Warehousing
  • Proficient in Agile methodologies
  • Expertise in building event-driven scalable and resilient systems
  • B2+ English level
nice to have
  • Experience with Apache Airflow, and SQL databases
  • Familiarity with Apache Spark, Hadoop, and stream processing engines

benefits for locations

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For you
  • Prepaid Medicine with Colsanitas for you and your legal dependents 
  • MetLife Life Insurance for you 
  • Thousands of projects for top brands
  • Stable income
For your comfortable work
  • 100% remote work forever
  • Free licensed software
  • Possibility to work on your own device (BYOD)
  • Stable workload
  • Relocation opportunities
  • Flexible engagement models
For your growth
  • Free trainings for technical and soft skills
  • Free access to LinkedIn Learning platform
  • Support from a personal Skill Advisor
  • Language courses
  • Free access to internal and external e-Libraries
  • Access to internal communities and competency centers
  • Certification opportunities
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