Senior Data Engineer
New
J
JobgetherData Engineering
Based in United StatesFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 3–5 years of professional experience
- Required Skills
- PythonSQLETLCI/CDData modeling
Requirements
- 3–5 years of professional experience in data engineering or related data platform roles.
- Hands-on experience with Microsoft Azure data technologies, including Azure Data Factory, Azure Databricks, Azure Synapse, and Fabric.
- Strong understanding of modern data platform architectures, including data warehouse, lakehouse, and medallion architecture approaches.
- Experience designing and developing ETL/ELT pipelines and scalable data processing solutions.
- Strong SQL skills and experience working with relational database platforms.
- Knowledge of data modeling methodologies, including dimensional modeling and Kimball techniques.
- Experience with DevOps practices, CI/CD processes, and collaborative software development environments.
- Proficiency with Python for data engineering tasks.
- Understanding of Agile engineering practices and delivery methodologies.
- Bachelor’s degree in Data Analytics, Computer Science, Information Systems, or a related field.
Responsibilities
- Build and maintain robust databases, data pipelines, and data lake solutions that support enterprise analytics needs.
- Develop and optimize data transformations, data models, reporting solutions, dashboards, and analytics applications.
- Design and implement scalable data solutions using modern cloud technologies and data engineering best practices.
- Collaborate directly with clients to understand business challenges, gather requirements, and translate needs into technical solutions.
- Participate in all phases of analytics development, including discovery, solution design, implementation, documentation, and continuous improvement.
- Apply data engineering methodologies such as ETL/ELT processes, data modeling, anomaly detection, and data quality management.
- Support Agile development practices, continuous integration, and continuous delivery processes.
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