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EY EY - GDS Consulting AI DATA Data Engineer GIG 
India, Kerala, Thiruvananthapuram 
959860918

28.07.2024


We are seeking a highly skilled and experienced Data Engineer with expertise in Python data engineering, PostgreSQL, and Apache Airflow. The ideal candidate will have a minimum of 5 - 8 years of experience in data engineering and will play a crucial role in designing, implementing, and maintaining data pipelines and orchestration. You will work closely with data scientists, analysts, and other stakeholders to ensure efficient and reliable data processes.

Responsibilities:

  • Design, develop, and maintain scalable data pipelines using Python, PostgreSQL, and Apache Airflow.
  • Collaborate with data scientists and analysts to understand data requirements and implement solutions.
  • Optimize and tune database queries for performance and scalability.
  • Integrate Kafka into data pipeline for asynchronous data processing.
  • Ensure data quality and integrity through robust validation and monitoring processes.
  • Develop and implement data pipeline framework to integrate data from various sources.
  • Monitor and troubleshoot data pipelines, ensuring timely resolution of issues.
  • Implement best practices for data engineering, including code versioning, testing, and documentation.
  • Work with on-premises platforms for CI/CD process to deploy and manage data pipeline.
  • Collaborate with software engineering teams to integrate data solutions into applications.
  • Stay updated with the latest trends and technologies in data engineering and PostgreSQL database for performance improvement of vector database.

Requirements:

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Minimum 5 -8 years of experience in data engineering.
  • Strong proficiency in Python programming for data engineering tasks.
  • In-depth knowledge of PostgreSQL and experience in database design, optimization, and management.
  • Hands-on experience with Apache Airflow for orchestrating data workflows.
  • Experience with data pipeline processes and tools.
  • Experience with kafka for data processing.
  • Familiarity with DevOps and CI/CD including docker containerization.
  • Strong problem-solving and analytical skills.
  • Excellent communication and collaboration skills.
  • Understanding of data privacy, security, and compliance considerations.

Good to Have Skills:

  • Experience with other storage technologies (e.g., Dell’s S3).
  • Experience with DevOps practices and tools (e.g., Docker, Kubernetes, Terraform).
  • Understanding of MLOps and integrating data engineering with machine learning workflows.
  • Ability to work in an Agile development environment.



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