Data Engineer
3 weeks ago
About the Role
Risk Resources LLP is seeking a skilled Data Engineer to join our team. As a Data Engineer - Pyspark Databricks Specialist, you will be responsible for developing and implementing data processing pipelines using Pyspark on the Databricks platform.
Key Responsibilities
- Design and Develop Data Processing Pipelines: Utilize Pyspark and Databricks to design and develop efficient data processing pipelines that ensure scalable data processing and analysis.
- Optimize Spark Jobs and Clusters: Optimize and tune the performance of Spark jobs and clusters to ensure efficient data processing.
- Implement Data Transformations and Aggregations: Implement data transformations and aggregations for analysis and reporting.
- Collaborate with Cross-Functional Teams: Collaborate with data engineers and data scientists to integrate data from various sources into the pipelines.
- Maintain ETL Processes: Develop and maintain ETL processes to extract, transform, and load data into the data lake.
- Monitor and Troubleshoot Data Processing Jobs: Monitor and troubleshoot data processing jobs to ensure reliability and stability.
- Provide Technical Guidance: Conduct code reviews and provide technical guidance to junior team members.
- Implement Best Practices: Implement best practices for data pipeline development and documentation.
Requirements
- Bachelor's Degree: Bachelor's degree in Computer Science, Engineering, or a related field.
- Proven Experience: Proven experience in developing data processing pipelines using Pyspark and Databricks.
- Python Proficiency: Strong proficiency in Python programming language.
- Big Data Technologies: Hands-on experience with Big Data technologies and distributed computing.
- Expertise in Optimizing Spark Jobs: Expertise in optimizing Spark jobs and clusters for performance.
- Knowledge of ETL Processes: Knowledge of ETL processes and data warehousing concepts.
- Experience with Data Integration and Modeling: Experience with data integration and data modeling.
- Ability to Troubleshoot Complex Issues: Ability to troubleshoot and debug complex data processing issues.
- SQL and NoSQL Databases: Excellent understanding of SQL and NoSQL databases.
- Strong Communication Skills: Strong communication and collaboration skills to work effectively in a team environment.
- Certifications: Certifications in Pyspark Databricks or related technologies are a plus.
- Cloud Platforms: Familiarity with cloud platforms such as AWS, Azure, or Google Cloud is beneficial.
Data Engineer - Pyspark Databricks Specialist, Risk Resources LLP, Pyspark, Databricks, Data Engineer
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