Resumen: Lead Data Engineer (Azure) es una vacante de Softserve en Remote. Es remota y abierta a candidatos desde Latinoamérica (Acepta LATAM). Softserve tiene 4 puestos abiertos ahora.
Data Science / AnalyticsPet FriendlyHealth CoverageComputer ProvidedInformal DresscodeVacation Over LegalBeverages And Snacks
Descripción del puesto
Requirements
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
Funciones
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
Deseable
Exposure to Microsoft Fabric, Hadoop, Hive, Kafka, Power BI, or Tableau as a plus
Experience with healthcare or pharmaceutical data environments as an advantage
Beneficios
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
AJUSTE A LA OFERTA
¿Tu CV pasa el filtro de esta oferta?
Compara tu CV contra esta oferta. Todo se procesa en memoria, nada se guarda.