Softserve
Lead Data Engineer (Azure)
Lead Data Engineer at SoftServe who designs and builds scalable ETL and data-integration pipelines on Azure (Synapse, Data Factory, Airflow, Spark/PySpark, SQL, Python), ensures data quality and performance, and technically guides the data engineering team while working directly with international clients.
- Compensation
- Not disclosed
- Location
- Remote
- Work setup
- Remote
- Seniority
- Lead
- Employment
- Not specified
- Experience
- 2+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 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/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
Full description
- 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
- 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
- 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