Data Architect with Azure Specialization
2 days ago
Confiz is seeking a highly skilled data engineer to join our team and contribute to the expansion and optimization of our big data pipelines. As a key member of our team, you will work closely with Big Data Solution Architects to design, implement, and optimize data ingestion pipelines, ensuring seamless data sharing across various business systems.
About the Role- This role requires a skilled data engineer who can build ETL/ELT Ingestion pipelines and analytics solutions using cloud and on-premises technologies.
- The successful candidate will ensure that the design, code, and procedural aspects of the solution meet production-ready standards, focusing on operational, security, and compliance requirements.
- You will participate in day-to-day project and production delivery status meetings, providing technical support for faster issue resolution.
- A Bachelor's degree from an accredited college/university or equivalent work experience is required.
- The ideal candidate will have 5+ years of experience performing data engineering, warehousing, publishing, and visualization throughout the full data lifecycle.
- At least two (2) years of experience as an Azure Data Engineer or in a similar role in a technology or IT consulting environment is necessary.
- We seek candidates with 3 years of experience in data profiling, cataloguing, and mapping to enable the design and build of technical data flows.
- Experience defining ELT/ETL architecture and process design is also essential.
- The successful candidate will have 2 years of experience performing end-to-end implementation of data warehousing analytics solutions built on MS or Azure platforms.
- A minimum of 2 years of experience working with Azure is required.
- Candidates should have experience creating data pipelines using ETL tools like Airflow, ADF.
- Experienced individuals in distributing computing technologies like Apache Spark, Databricks are also preferred.
- Stream-processing systems like Spark Streaming, Eventhub are also relevant to this role.
- Proficiency in one of the object-oriented and functional languages: Python, Java, Scala, etc., is necessary.
- Experience writing effective and maintainable unit and integration tests for ingestion pipelines is required.
- Using static analysis and code quality tools is also expected.
- Familiarity with code version control repositories like Git is necessary.
- Security best practices including encryption of sensitive data, encryption at rest, and encryption in flight are critical.
- Building CI/CD pipelines & DevOps orchestration tool like Jenkins is also essential.
- Familiarity with Data Lakehouse, Delta Lake, Apache Hudi is beneficial.
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