
Senior Data Architect
1 week ago
About the Role
We are seeking a skilled Data Engineer to join our team. The ideal candidate will have experience in designing and implementing data pipelines using Java and Spark.
- Design and implement data pipelines using Java and Spark.
- Build data pipelines from multiple sources.
- Perform transformations using Java+spark in data bricks.
- Create automated workflows with triggers, Scheduled Jobs in Airflow.
- Design and development of Airflow dags to orchestrate data processing jobs.
- Ensure timely notifications through email alerts in the event of job failures or critical system issues.
- Develop code to write logic for data.
- Interact with customers to understand & gather requirements.
- Provide technical input to customers for analysis and design work.
- Support customer queries.
Requirements
The following skills and qualifications are required:
- Proficiency in Java, including understanding of its ecosystems.
- Experience in Data Engineering Java and Spark, with a focus on Java.
- Familiarity with Linux / Linux scripting.
- Knowledge of transformation and aggregated data from multiple sources.
- Understanding of performance tuning using Optimization techniques, Caching Data in Memory, Broadcast etc.
- Azure/Cloud DevOps concepts, CI/CD pipeline.
- Knowledge of Spark application architecture.
- Familiarity with deployment pipelines.
- Hands-on experience with git bash.
- Working knowledge of scrum methodology.
- Excellent communication skills.
Benefits
This role offers a range of benefits, including:
- Opportunity to work with a talented team of professionals.
- Chance to develop new skills and expertise.
- Competitive salary and benefits package.
How to Apply
If you are a motivated and experienced Data Engineer looking for a new challenge, please submit your application.
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