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Data Engineer
- Santa Clara, California, United States
- Santa Clara, California, United States
Über
Location: Santa Clara, CA 95051
Duration: 6 Months
Onsite/Hybrid/Remote: Hybrid
Job Description: Data Engineer
We are seeking a skilled Data Application Engineer to design, build, and maintain data-driven applications and pipelines that enable seamless data integration, transformation, and delivery across systems.
The ideal candidate will have a strong foundation in software engineering, database technologies, and cloud data platforms, with a focus on building scalable, robust, and efficient data applications.
Key Responsibilities
Develop Data Applications: Build and maintain data-centric applications, tools, and APIs to enable real-time and batch data processing.
Data Integration: Design and implement data ingestion pipelines, integrating data from various sources such as databases, APIs, and file systems.
Data Transformation: Create reusable ETL/ELT pipelines to process and transform raw data into consumable formats using tools like Snowflake, DBT, or Python.
Collaboration: Work closely with analysts, and stakeholders to understand requirements and translate them into scalable solutions.
Documentation: Maintain comprehensive documentation for data applications, workflows, and processes.
Required Skills and Qualifications
Education: Bachelor s degree in Computer Science, Engineering, or a related field (or equivalent experience).
Programming: Proficiency in programming languages Python, C# , ASP.NET (Core)
Databases: Strong understanding of SQL, database design, and experience with relational (e.g., Snowflake, SQL Server) databases
Data Tools: Hands-on experience with ETL/ELT tools and frameworks such as Apache Airflow (DBT - Nice to Have)
Cloud Platforms: Familiarity with cloud platforms such as AWS, Azure, or Google Cloud, and their data services (e.g., S3, AWS Lambda etc.).
Data Pipelines: Experience with real-time data processing tools (e.g., Kafka, Spark) and batch data processing.
APIs: Experience designing and integrating RESTful APIs for data access and application communication.
Version Control: Knowledge of version control systems like Git for code management.
Problem-Solving: Strong analytical and problem-solving skills, with the ability to troubleshoot complex data issues.
Preferred Skills
Knowledge of containerization tools like Docker and orchestration platforms like Kubernetes.
Experience with BI tools like Tableau, Power BI, or Looker.
Soft Skills
Excellent communication and collaboration skills to work effectively in cross-functional teams.
Ability to prioritize tasks and manage projects in a fast-paced environment.
Strong attention to detail and commitment to delivering high-quality results.
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Sprachkenntnisse
- English
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