
Azure Big Data Solutions Engineer
5 days ago
Big Data Engineer Role
As a data engineer at Confiz, you will play a crucial role in designing and implementing big data pipelines that enable seamless data sharing across our systems.
Key Responsibilities:
- Collaborate with solution architects to ensure data pipeline effectiveness.
- Develop ETL/ELT ingestion pipelines using cloud and on-premises technologies.
- Ensure production readiness of solution design, code, and procedural aspects.
- Provide technical support for prompt issue resolution.
Requirements:
- Bachelor's degree from an accredited institution or equivalent work experience.
- 5+ years of experience in data engineering, warehousing, publishing, and visualization.
- At least two years of experience as an Azure Data Engineer or in a similar technology consulting environment.
- 3 years of experience in data profiling, cataloguing, and mapping for technical data flows.
- 3 years of experience defining ELT/ETL architecture and process design.
- 2 years of experience implementing end-to-end data warehousing analytics solutions on MS or Azure platforms.
- 2 years of experience working with Azure services.
- Experience in creating data pipelines with ETL tools like Airflow and ADF.
- Familiarity with distributed computing technologies like Apache Spark and Databricks.
- Proficient in object-oriented and functional programming languages.
- Experience in writing unit and integration tests for ingestion pipelines.
- Knowledge of static analysis and code quality tools.
- Experience in using Git version control repositories.
- Experienced in security best practices including data encryption at rest and in flight.
- Experience in building CI/CD pipelines with DevOps orchestration tools like Jenkins.
- Familiarity with Data Lakehouse, Delta Lake, and Apache Hudi technologies.
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