
Data Engineering Specialist
19 hours ago
Job Title:
Data Engineering SpecialistA highly skilled Data Engineer is sought to join our team in designing, developing and maintaining scalable ETL processes.
The ideal candidate will possess strong expertise in Databricks PySpark, Spark SQL and Python programming with extensive experience in developing and debugging complex data pipelines.
Responsibilities:
- Design and Development:
- Design and develop efficient ETL processes using Databricks PySpark to extract, transform and load data from heterogeneous sources into data lake and data warehouse.
- Optimize ETL workflows for performance and scalability leveraging Databricks PySpark and Spark SQL to efficiently process large data volumes.
- Implement robust error handling and monitoring mechanisms to proactively detect and resolve issues within ETL processes.
- Data Pipeline Management:
- Develop and maintain advanced data pipelines using Databricks Workflows ensuring data quality, integrity and reliability throughout the ETL lifecycle.
- Collaborate with cross-functional teams to translate data requirements into efficient ETL workflows and pipelines.
- Query Optimization:
- Write and optimize complex SQL queries for data manipulation, aggregation and analysis within Databricks PySpark applications.
- Project Coordination:
- Participate in project planning and coordination activities to ensure timely delivery of ETL solutions.
Required Qualifications:
- Bachelor's degree in Computer Science or related field.
- Minimum 3 years of experience as an ETL developer with a strong focus on Databricks PySpark development.
- Proficiency in Python programming with extensive experience in developing and debugging complex Databricks PySpark applications.
- In-depth understanding of Spark architecture and internals with hands-on experience in Spark RDDs, DataFrames and Spark SQL.
- Expertise in writing and optimizing complex SQL queries for data manipulation, aggregation and analysis.
- Proven experience in working with large-scale data warehousing and ETL frameworks.
- Strong problem-solving skills and ability to troubleshoot and resolve ETL process issues.
- Excellent communication and collaboration skills.
Preferred Qualifications:
- Experience with cloud platforms.
- Experience with data platform tools such as Databricks, Snowflake and Tableau.
- Demonstrated ability to implement best practices for ETL processes and data management.
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