SoftserveActive opening

Lead Data Engineer (Azure)

Remote (Latin America)Remote (region-locked)LeadFound today
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sqlpythonsparkpysparkazuredata factoryairflow
  • 5+ years of experience in Data Engineering, including hands-on development of ETL pipelines and data integration solutions

  • +2 years of experience as Data Engineer Lead

  • Advanced proficiency in SQL and Python for data processing, transformation, and optimization

  • Strong experience with Spark and PySpark for distributed data processing

  • Hands-on experience with Azure data technologies and cloud-based data platforms

  • Advanced proficiency with Azure Synapse, Azure Data Factory and/or Apache Airflow for workflow orchestration and scheduling

  • Strong understanding of Data Architecture, Data Modeling, Data Quality, Data Integration, and SQL and ETL performance optimization

  • Proven ability to provide technical guidance to engineering teams and serve as a technical reference throughout project delivery

  • Strong working proficiency in English for daily communication with international clients and teams

  • Client-facing, communication, analytical, and problem-solving skills

  • Design and develop scalable ETL and data integration pipelines across Azure data environments

  • Own technical implementation and solution quality, ensuring reliable, scalable, and maintainable data processing

  • Collaborate with clients, Solution Architects, and engineering teams to translate business requirements into effective data solutions

  • Build and optimize data processing workflows using SQL, Python, Spark, PySpark, Azure Data Factory, and Apache Airflow

  • Develop data models and schemas aligned with business requirements, architecture standards, and downstream consumption needs

  • Implement data quality and validation controls to maintain data integrity and consistency across platforms

  • Optimize SQL queries, ETL processes, and data workflows to improve performance and reliability

  • Guide the Data Engineering team on technical decisions, engineering practices, troubleshooting, and successful solution delivery

  • Exposure to Microsoft Fabric, Hadoop, Hive, Kafka, Power BI, or Tableau as a plus

  • Experience with healthcare or pharmaceutical data environments as an advantage

  • SoftServe University, with learning opportunities, certification support and leadership opportunities to help you grow your skills

  • Medical insurance for you and your family

  • Food vouchers

  • Extra days off

  • Dare to Care, our holistic well-being program

  • Anniversary Program to celebrate your time with us

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SoftserveLead Data Engineer (Azure)
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