
Cloud Data Solutions Architect
2 days ago
Expand and optimize our big data pipeline by working as a data engineer.
About the Role:- You will collaborate with big data solution architects to design, implement, and optimize data ingestion pipelines.
- Develop ETL/ELT ingestion pipelines and analytics solutions using cloud and on-premises technologies.
- Ensure that your design, code, and procedures meet operational, security, and compliance standards.
- Participate in daily project delivery status meetings and provide technical support for issue resolution.
- Bachelor's degree or equivalent work experience.
- At least 5 years of experience performing data engineering, warehousing, publishing, and visualization.
- At least 2 years of experience as an Azure Data Engineer or in a similar role.
- Proficiency in data profiling, cataloguing, and mapping.
- Ability to define ELT/ETL architecture and process design.
- Experience implementing data warehousing analytics solutions.
- Working knowledge of Azure.
- Skills in creating data pipelines using ETL tools like Airflow, ADF.
- Understanding of distributing computing technologies like Apache Spark, Databricks.
- Knowledge of stream-processing systems like Spark Streaming, Eventhub.
- Proficiency in object-oriented and functional programming languages.
- Ability to write unit and integration tests for ingestion pipelines.
- Familiarity with static analysis and code quality tools.
- Understanding of code version control repositories like Git.
- Knowledge of security best practices.
- Experience building CI/CD pipelines & DevOps orchestration tools.
- Familiarity with Data Lakehouse, Delta Lake, Apache Hudi.
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