Data Engineer-AIML

Role Overview: As a Data Engineer-AIML at the company in India, you will play a crucial role in building and maintaining data architectures to support AIML initiatives. Your primary responsibilities will include: Key Responsibilities: - Designing, developing, and maintaining scalable data pipelines for efficient data ingestion and processing. - Collaborating closely with data scientists and analysts to understand data requirements and ensure high data quality. - Implementing and optimizing ETL processes to improve data retrieval and storage efficiency. - Developing and managing data models and architecture specifically for AIML applications. - Conducting data analysis to extract insights that can support key business decisions and strategies. - Monitoring and troubleshooting data pipeline performance to maintain high availability and reliability. Qualifications Required: - Proficiency in programming languages such as Python, Java, or Scala. - Experience with big data technologies like Hadoop, Spark, or Kafka. - Strong knowledge of SQL and relational databases such as PostgreSQL or MySQL. - Familiarity with cloud platforms like AWS, Azure, or Google Cloud. - Hands-on experience with data warehousing solutions and data modeling. - Understanding of machine learning concepts and frameworks, such as TensorFlow or PyTorch (a plus). - Ability to work with version control systems like Git. - Strong problem-solving skills and the flexibility to work both independently and as part of a team.,