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Advanced Data Engineering Specialist

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As a Senior Data Engineer, you will play a crucial role in designing, developing, and maintaining scalable data pipelines using PySpark.

Key Responsibilities:
  • Develop strong expertise in building data pipelines using PySpark.
  • Implement complex business logic using Spark SQL, DataFrame, and RDD APIs.
  • Maintain proficient programming skills in Python with a strong foundation in data structures, algorithms, and software engineering principles.
  • Design, develop, and maintain batch and streaming data pipelines.
  • Ensure data transformation, data quality, and performance optimization through ETL/ELT processes and best practices.

You will work closely with the team to design and implement modern data engineering solutions using tools such as Apache Airflow, dbt, Delta Lake, and experience working with cloud services like AWS S3, AWS Glue, EMR, Lambda, Step Functions, and Redshift.