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lead big data engineer

Data Software Engineering, Apache Spark, Databricks, Python, Scala, Microsoft Azure
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We are seeking a highly skilled remote Lead Big Data Engineer to join our team, working with a global leader in the technology industry.

In this role, you will be responsible for leading a team of engineers to design and develop data solutions using Databricks and other Big Data technologies. You will work closely with cross-functional teams to ensure the delivery of high-quality solutions that meet business requirements.

In this position, you will play a crucial role in driving innovation and growth in our organization. Fluency in Spanish and Databricks Data Engineering Professional certification are required.

  • Lead the design and development of data solutions using Databricks and other Big Data technologies
    • Collaborate with cross-functional teams to understand business requirements and provide technical guidance and support
      • Mentor and lead a team of engineers to ensure the delivery of high-quality solutions
        • Identify and resolve technical issues, ensuring the timely delivery of projects
          • Contribute to the development of best practices and standards for data engineering
            • Stay up-to-date with the latest Big Data technologies and trends, sharing knowledge with the team
              • Provide technical guidance and support to other teams within the organization
                • Minimum of 5 years of experience in Data Software Engineering, with a focus on Big Data technologies
                  • 1+ years of relevant leadership experience
                    • Expertise in Apache Spark and Databricks, with a proven track record of designing and developing complex data solutions
                      • Proficiency in programming languages such as Python and Scala, enabling you to write efficient and scalable code
                        • Experience with Microsoft Azure, including Azure Data Factory, Azure Databricks, Azure Data Lake Storage, and Azure Synapse Analytics
                          • Excellent leadership skills, including the ability to mentor and lead a team of engineers
                            • Strong problem-solving skills, with the ability to identify and resolve complex technical issues
                              • Fluent spoken and written English at an Upper-Intermediate level or higher
                                • Spanish language proficiency is a must-have
                                  nice to have
                                  • Experience with data streaming technologies such as Kafka or Kinesis
                                    • Familiarity with machine learning and data science concepts and tools
                                      • Experience with cloud-based data solutions such as AWS or Google Cloud Platform
                                        • Experience with distributed computing and containerization technologies such as Kubernetes or Docker

                                          These jobs are for you

                                          benefits for locations

                                          For you
                                          • Paid time off
                                          • Paid sick leave days
                                          • Medical insurance
                                          • Stable income
                                          • Lunch allowance
                                          • Bonuses for holidays celebration
                                          For your comfortable work
                                          • Remote-forever work
                                          • Free licensed software
                                          • Stable workload
                                          • Relocation opportunities
                                          • Flexible engagement models
                                          For your growth
                                          • Free trainings for technical and soft skills
                                          • Free access to LinkedIn Learning platform
                                          • Language courses
                                          • Free access to internal and external e-Libraries
                                          • Certification opportunities
                                          • Skill advisory service
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