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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 seeking a remote Lead Big Data Engineer with expertise in Databricks to join our team.

The successful candidate will be responsible for designing and implementing solutions utilizing Data Lake and stream processing engines like Kafka and Spark. The Lead Big Data Engineer will have experience in the Financial services domain and will be proficient in software development lifecycle (SDLC) methodologies like Agile and Test-driven development.

responsibilities
  • Designing and implementing solutions utilizing Data Lake and stream processing engines like Kafka and Spark
  • Providing technical leadership and guidance to team members
  • Collaborating with cross-functional teams to drive projects to completion
  • Developing and implementing SDLC methodologies like Agile and Test-driven development
  • Maintaining and improving the performance of existing solutions
requirements
  • Bachelor's/Master's Degree in Computer Science, Information Systems or equivalent
  • 5+ years of relevant experience in Data Software Engineering
  • 1+ years of relevant leadership experience
  • Expertise in Databricks, Python, AWS, Apache Spark, and Data Warehousing
  • Experience with Big Data platforms such as Apache Hadoop
  • Advanced SQL coding skills with both SQL and NoSQL databases
  • B2+ English level
nice to have
  • Experience with Apache Airflow, and Relational Database Design

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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