Ofertas › Softserve
Softserve · Remote · Remoto
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