Data Engineer

• Design, develop, and maintain robust data pipelines and ETL processes to support data integration and analytics.

• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver high-quality data solutions.

• Optimize and improve existing data systems and processes for performance and scalability.

• Implement data governance and best practices to ensure data quality and security.

• Monitor and troubleshoot data-related issues, providing timely resolutions.

• Stay current with industry trends and emerging technologies in data engineering and analytics.

• Mentor and guide junior data engineers, fostering a culture of continuous learning and improvement.

• Bachelor’s degree in Computer Science, Engineering, or a related field.

• Minimum of 3 years and maximum of 6 years of experience in data engineering or a related role.

• Proficiency in programming languages such as Python, Java, or Scala.

• Strong experience with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB).

• Familiarity with data warehousing solutions and big data technologies (e.g., Hadoop, Spark).

• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and data services.

• Knowledge of data modeling, data architecture, and data governance principles.

• Excellent problem-solving skills and attention to detail.

• Strong communication and collaboration skills, with the ability to work effectively in a team environment.

• Experience with data visualization tools (e.g., Tableau, Power BI).

• Familiarity with machine learning concepts and frameworks.

• Knowledge of DevOps practices and CI/CD pipelines for data engineering.

FYERS Securities