
# Senior Data Engineer Role
7 days ago
We are seeking a Senior Data Engineer to join our team.
Job Description:
Design, develop and maintain large-scale data pipelines using PySpark.
Key Responsibilities:
- Develop and implement scalable data pipelines using PySpark.
- Collaborate with cross-functional teams to integrate data engineering solutions.
- Ensure high-quality code and adhere to best practices for data transformation, data quality, and performance optimization.
- Participate in the design and implementation of ETL/ELT processes.
Required Skills and Qualifications:
Technical Skills:
- Strong experience with PySpark.
- Hands-on expertise in building scalable data pipelines using PySpark.
- Proficiency in using Spark SQL, DataFrame, and RDD APIs.
- Expertise in data structures, algorithms, and software engineering principles.
- Knowledge of modern data engineering ecosystems.
- Experience working with cloud services such as AWS S3, AWS Glue/EMR, AWS Lambda, Step Functions, Redshift, and similar tools.
Benefits:
- Opportunity to work on large-scale data engineering projects.
- Chance to collaborate with cross-functional teams.
- Professional growth and development opportunities.
Other Information:
This role is ideal for individuals who are passionate about data engineering and want to make a meaningful impact.
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