Fox Point Recruitment LLC
Senior Data Engineer
Rol remoto de Data Engineering con fit claro de ubicación del candidato.
Publicado14 jun 2026
Países elegibles1 país aceptado
Señal de senioritySenior
Modelo de trabajoRemoto
Ubicaciones aceptadas para candidatos
India
Resumen del rol
Senior Data Engineer
Requisitos y responsabilidades
Contenido del rol extraído en secciones para revisar más rápido.
Key Responsibilities
- Design and develop robust, scalable data pipelines using Azure Data Factory (ADF)
- Build and optimize data processing workflows using Databricks and Apache Spark
- Implement declarative pipeline solutions using Lakehouse architecture and best practices
- Write and optimize complex SQL queries for data transformation and analysis
- Develop PySpark applications for large-scale data processing
- Collaborate with data scientists, analysts, and stakeholders to understand data requirements
- Ensure data quality, security, and compliance across all pipelines
- Monitor, troubleshoot, and optimize data pipeline performance
- Document technical solutions and maintain best practices documentation
- Mentor junior team members and contribute to team knowledge sharing
What we're Looking For
- Proficient in building scalable data solutions using Azure and Databricks
- Skilled in SQL and PySpark for data transformation and processing
- Capable of implementing declarative, maintainable pipeline architectures
- Detail-oriented with a focus on data quality and performance optimization
- Collaborative and able to work effectively with cross-functional teams
- Proactive in staying current with emerging data engineering technologies and best practices
- Communicative and able to explain complex technical concepts clearly
Must-Have Technical Skills
- Azure Data Factory (ADF)“ Proven experience designing and implementing data integration solutions
- Databricks“ Hands-on experience with Databricks platform and workspace management
- Apache Spark “ Strong expertise in distributed data processing using Spark framework
- Lakeflow & Declarative Pipelines – Experience building declarative, maintainable data pipelines
- SQL – Advanced proficiency in writing optimized SQL queries for complex data transformations
- PySpark “ Strong programming skills in PySpark for data processing and ETL operations
Additional Desired Qualifications:
- Experience with cloud platforms (Azure, AWS, or GCP)
- Knowledge of data warehousing concepts and modern data architecture
- Familiarity with version control systems (Git)
- Understanding of CI/CD pipelines and DevOps practices
- Experience with data quality frameworks and testing methodologies
- Knowledge of big data technologies and distributed computing
Required Experience
- 5+ years of professional experience in data engineering or related roles
- 3+ years of hands-on experience with cloud-based data platforms
- Proven track record of designing and implementing production-grade data pipelines
- Strong problem-solving skills and attention to detail
Education
- Bachelor's Degree in Computer Science, Engineering, Mathematics or related field OR
- Related Field or Professional experience
Why Join Us?
- Work with cutting-edge data engineering technologies
- Collaborate with a talented and innovative team
- Opportunity to build impactful data solutions at scale
- Professional growth and continuous learning opportunities
- Competitive compensation and benefits package
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