Data Engineer @ ACS Consultants

Job Description

Key Responsibilities

• Design, develop, and maintain scalable ETL pipelines using PySpark.
  
• Build and orchestrate data workflows using Apache Airflow.
  
• Develop reusable Python modules for data ingestion and transformation.
  
• Collaborate with data scientists and analysts to understand data needs and build robust solutions.
  
• Optimize Spark jobs for performance and cost-efficiency.
  
• Monitor and troubleshoot data pipeline failures and latency issues.

Required Skills

• Strong hands-on experience in Python programming.
  
• In-depth knowledge of PySpark and big data processing.
  
• Proficiency in developing and scheduling DAGs in Apache Airflow.
  
• Experience working with SQL, data lakes, and data warehouses.
  
• Familiarity with Git, Linux, and CI/CD tools.

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Keyskills:   Airflow Pyspark Python