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lead big data engineer

Data Software Engineering, Apache Spark, Databricks, Python, Scala

We are seeking a highly skilled remote Lead Big Data Engineer to join our team, working on a cutting-edge project that leverages the latest technologies to deliver innovative solutions in the field of data engineering.

In this role, you will lead a team of engineers in the development, implementation, and maintenance of large-scale data processing systems, ensuring the highest levels of performance, reliability, and scalability. If you are a creative problem solver with a passion for data engineering and a proven track record of delivering complex projects, we invite you to apply for this exciting opportunity.

  • Lead a team of engineers in the design, development, and maintenance of large-scale data processing systems
    • Collaborate with stakeholders to identify business requirements and translate them into technical specifications
      • Develop and implement data processing pipelines using technologies such as Apache Spark and Databricks
        • Optimize data processing performance and scalability, ensuring high levels of reliability and availability
          • Provide technical guidance and mentorship to team members, fostering a culture of continuous learning and development
            • Conduct code reviews and ensure adherence to coding standards and best practices
              • Stay up-to-date with emerging trends and technologies in data engineering, and make recommendations for their adoption
                • A minimum of 5 years of experience in Data Software Engineering, with expertise in designing and building large-scale data processing systems
                  • A minimum of 1 year of experience in leading a team of engineers, providing technical guidance and mentorship, and driving successful project outcomes
                    • Expertise in Apache Spark and Databricks, showcasing your proficiency in distributed computing and data processing
                      • In-depth knowledge of programming languages such as Python and Scala, enabling you to write efficient and effective code
                        • Strong understanding of data modeling and database design principles, including experience with SQL and NoSQL databases
                          • Experience with cloud-based data processing platforms such as AWS, Azure, or Google Cloud Platform
                            • Excellent communication skills and the ability to work collaboratively with cross-functional teams
                              • Fluent spoken and written English at an Upper-Intermediate level or higher
                                • Spanish language proficiency is a must-have
                                  nice to have
                                  • Completed Databricks Data Engineering Professional certification
                                    • Experience with machine learning and data analytics tools and frameworks such as TensorFlow, PyTorch, or Apache Flink
                                      • Experience with data visualization tools such as Tableau, Power BI, or QlikView

                                        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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