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lead big data engineer

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Data Software Engineering, Data Analytics and Visualization, Databricks, AWS Glue, Amazon Web Services, MicroStrategy Analytics, PySpark, Python

We are currently hiring for the position of Lead Big Data Engineer for a remote work setup.
The ideal candidate will work closely with technical teams and business stakeholders in developing, designing, and delivering high-quality data products that meet business requirements. The role is responsible for end-to-end data integration, modeling, and reporting on MicroStrategy and Databricks platforms.

responsibilities
  • Translate business requirements into technical solutions
    • Design, develop, monitor, and visualize Customer Data Access Overhaul data product
      • Integrate high-quality datasets for analytical use-cases
        • Design incident management process
          • Help other data teams follow the customer standards
            • Conduct testing (preparation and execution)
              • Operate data pipelines and address alerts, bugs, etc.
                requirements
                • Bachelor's or Master's degree in Computer Science, Engineering, or related field
                  • Minimum of 5 years of experience in Databricks or similar
                    • Minimum of 5 years of experience in MicroStrategy
                      • 1+ years of relevant leadership experience
                        • Strong skills in data visualization and data modeling
                          • Good understanding of ETL concepts
                            • Proficient in Apache Spark, PySpark, Python, and SQL
                              • Familiarity with AWS Glue, Amazon S3, GitHub, and CI/CD
                                • Ability to work independently and as a team player
                                  • Strong communication and organizational skills
                                    • Strong problem-solving skills and attention to detail
                                      • Ability to multitask in a fast-paced environment
                                        • Willingness to learn and keep updated with emerging technologies
                                          nice to have
                                          • Advanced Databricks skills like delta, cluster configuration, or Databricks APIs
                                            • Experience in new technologies like BigQuery, Airflow, Redshift, or Apache NiFi

                                              benefits for locations

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                                              For you
                                              • Paid time off
                                              • Paid sick leave days
                                              • Medical insurance
                                              • 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
                                              • Language courses
                                              • Free access to internal and external e-Libraries
                                              • Certification opportunities
                                              • Skill advisory service
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