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Data Engineer

4 weeks ago

Kolkata, West Bengal, India Risk Resources LLP Full time
Job Title: Data Engineer

We are seeking a highly skilled Data Engineer to join our team at Risk Resources LLP. As a Data Engineer, you will play a key role in developing and maintaining our data infrastructure, ensuring the accuracy and reliability of our data systems.

Key Responsibilities:
  • Data Pipeline Development: Design and develop reliable, scalable, and high-performance data pipelines to support data analytics and reporting requirements.
  • ETL Process Implementation: Implement and maintain ETL processes to acquire, integrate, and distribute data across various platforms.
  • Collaboration and Communication: Collaborate with cross-functional teams to understand data and information needs, and communicate effectively with stakeholders to ensure data quality and integrity.
  • Technology Expertise: Utilize Snowflake, Azure, AWS, Informatica, and DataStage to build and optimize data solutions, and stay current with emerging technologies and trends in big data, data engineering, and data processing.
  • Code Review and Quality Assurance: Participate in code reviews, identify areas for improvement, and ensure best practices are followed to maintain high-quality data systems.
  • Support for Data Scientists and Analysts: Provide infrastructure and tools necessary for analysis, and support data scientists and analysts in their work.
Required Qualifications:
  • Education: Bachelor's or Master's degree in Computer Science, Information Systems, or related field.
  • Experience: Proven experience with Snowflake, Azure, AWS, Informatica, and DataStage, and proficiency in SQL, Python, or Java for data manipulation and analysis.
  • Skills: Strong understanding of data modeling, database design, and data warehousing principles, experience with ETL tools and processes, and knowledge of data management tools and data governance practices.
  • Soft Skills: Excellent problem-solving and troubleshooting skills, ability to work in a fast-paced and dynamic environment, and excellent communication and collaboration skills.

big data technologies, data modeling, informatica, data governance, data stage, sql, data, database design, python, data processing, data management, database, snowflake, java, etl, azure, data engineering, data warehousing