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lead data software engineer (python)

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

We are seeking a highly skilled remote Lead Data Software Engineer to join our team, working with a leading provider of data-driven solutions for the finance industry.

In this position, you will be responsible for designing and implementing complex data pipelines, working with large data sets to create data-driven solutions that drive business value. You will work closely with cross-functional teams to understand business requirements and translate them into technical solutions, ensuring high-quality and scalable data engineering practices. If you are passionate about data engineering and have a proven track record of delivering high-quality solutions, we invite you to join our team.

  • Design and implement complex data pipelines, ensuring high-quality and scalable data engineering practices
    • Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions
      • Develop and maintain data processing applications and ETL processes, ensuring data accuracy and reliability
        • Lead and mentor junior engineers, providing guidance and support to ensure high-quality deliverables
          • Participate in code reviews, ensuring adherence to coding standards and best practices
            • Identify and solve complex data engineering challenges, leveraging your expertise in Big Data technologies
              • Contribute to the development of data governance and security policies, ensuring compliance with industry standards and regulations
                • A minimum of 5 years of experience in Data Software Engineering, with a focus on Big Data
                  • 1+ years of relevant leadership experience
                    • Expertise in Apache Spark and Databricks, with practical experience in building data pipelines and ETL processes
                      • Proficiency in programming languages such as Python and Scala, enabling you to write efficient and scalable code
                        • Experience in working with Microsoft Azure, including data storage and compute services
                          • Completed Databricks Data Engineering Professional certification
                            • Strong problem-solving skills and a data-driven mindset, enabling you to identify and solve complex data engineering challenges
                              • Excellent communication skills and the ability to collaborate effectively 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
                                    • Experience in working with other Big Data technologies, such as Hadoop or Hive
                                      • Practical experience in building data solutions for the finance industry
                                        • Experience in working with data visualization tools, such as Tableau or Power BI
                                          • Knowledge of machine learning algorithms and techniques

                                            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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