Data Systems Architect

2 weeks ago


Greater Noida, Uttar Pradesh, India Dev Full time

Job Title: Data Engineer

Overview:

The Data Engineer plays a crucial role in our organization, responsible for designing, developing, and maintaining our data architecture and infrastructure. They will collaborate with data scientists, analysts, and other stakeholders to ensure the efficient flow and storage of data across our systems.

Key Responsibilities:

  1. Design, build, and maintain scalable data pipelines and ETL processes
  2. Develop and optimize data models and schemas
  3. Implement and manage data storage solutions
  4. Ensure data quality and integrity through validation and testing
  5. Collaborate with cross-functional teams to understand data requirements
  6. Identify and resolve performance and scalability issues
  7. Automate data-related processes and workflows
  8. Monitor and optimize data infrastructure for reliability and efficiency
  9. Stay updated with the latest technologies and best practices in data engineering
  10. Contribute to the development of data governance and security policies

Required Qualifications:

  1. Bachelor's degree in Computer Science, Engineering, or related field
  2. Proven experience in data engineering or related roles
  3. Expertise in SQL and database management systems
  4. Proficiency in programming languages such as Python, Java, or Scala
  5. Hands-on experience with big data technologies (e.g., Hadoop, Spark, Kafka)
  6. Strong understanding of ETL processes and tools
  7. Ability to design and optimize data models for performance and scalability
  8. Experience with cloud-based data platforms (e.g., AWS, Azure, GCP)
  9. Knowledge of data warehousing concepts and techniques
  10. Excellent problem-solving and analytical skills
  11. Good communication and team collaboration abilities
  12. Understanding of data governance and compliance regulations
  13. Experience with DevOps practices and tools is a plus
  14. Certifications in data engineering or related fields are advantageous

Key Technologies: SQL, Python, ETL, Big Data, Data Modeling


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