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Data Engineering Specialist
3 weeks ago
Job Title: Data Engineering Specialist
">We are seeking a highly skilled data engineering specialist to join our team. As a key member of our data platform implementation team, you will be instrumental in designing, developing, and maintaining efficient extraction, transformation, and loading (ETL) processes for large-scale data warehousing.
">The successful candidate will have hands-on experience with Databricks PySpark development and a strong understanding of Spark architecture and internals. They will also be proficient in Python programming, with expertise in writing and optimizing complex SQL queries for data manipulation, aggregation, and analysis.
">This role requires excellent problem-solving skills, the ability to troubleshoot and resolve ETL process issues, and strong communication and collaboration skills. The ideal candidate will be able to work effectively in a team environment and contribute to the success of our data platform.
">Key Responsibilities:
">- ">
- ETL Development: Design and develop ETL processes using Databricks PySpark to extract, transform, and load data from heterogeneous sources into our data lake and data warehouse.">
- Data Pipeline Management: Develop and maintain data pipelines using Databricks PySpark, ensuring data quality, integrity, and reliability throughout the ETL lifecycle.">
- Data Analysis and Query Optimization: Write and optimize complex SQL queries for data manipulation, aggregation, and analysis within Databricks PySpark applications.">
- Project Coordination and Continuous Improvement: Participate in project planning and coordination activities to ensure timely delivery of ETL solutions and stay updated on the latest developments in Databricks PySpark and related technologies.">
Required Skills and Qualifications:
">- ">
- Bachelor's degree in Computer Science, Engineering, or a related field.">
- Minimum of 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 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 the ability to troubleshoot and resolve ETL process issues.">
- Excellent communication and collaboration skills, with the ability to work effectively in a team environment.">
Preferred Qualifications:
">- ">
- Experience with cloud platforms, preferably AWS.">
- Experience with data platform tools such as DataBricks, Snowflake, and Tableau.">
- Demonstrated ability to implement best practices for ETL processes and data management.">
- Strong understanding of data governance and data quality principles.">
- Relevant certifications in Databricks PySpark, Spark SQL, or related technologies.">
