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senior data engineer

Data Software Engineering, Amazon Web Services, Apache Airflow, Apache Spark, CI/CD, Python, SQL

We are looking for a passionate remote Senior Data Engineer to join the Customer Success and Support (CSS) Data Engineering team.

In this role, you will be responsible for building world-class data solutions and applications that power crucial decisions throughout the organization. You should be someone who is excited about building services that scale.

  • Build tables and datamarts with separate data models for analytics purposes, working in sprints. Data Scientists will give requirements by the end of the quarter, with ad-hoc requests as needed (on-call support is expected)
    • Support Data Science teams by building scalable data solutions and applications that enable them to derive insights from large datasets
      • Build ingestion pipelines, and be responsible for supporting and improving existing pipelines
        • Ensure the quality and integrity of data through testing and monitoring of data solutions
          • Publish good documentation to help users understand the information provided
            • Work in collaboration with cross-functional teams to deliver quality solutions on time
              • Provide mentoring to junior team members as needed
                • 3+ years of relevant experience in Data Software Engineering
                  • High proficiency in SQL (must-have), with most tasks in Databrick SQL. Experience with DataBricks is a plus and can be trained
                    • Extensive knowledge of Spark and experience with PySpark
                      • Experience with Python and writing on top of Airflow
                        • Experience with data integration and modeling
                          • General knowledge of big data, AWS suite, and Airflow
                            • Some ETL experience, including building ETL pipelines
                              • Experience with data modeling and using REST APIs
                                • Experience working with varied forms of data infrastructure, including relational databases (e.g. SQL), Spark, and column stores (e.g. Redshift)
                                  • Must be a team player with a positive attitude and willingness to learn new technologies on the fly
                                    • Experience with on-call support is preferred
                                      • If you are a self-motivated and skilled data engineer who is passionate about building world-class data solutions, we encourage you to apply
                                        • Strong communication and documentation skills
                                          • B2+ English level

                                            benefits for locations

                                            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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