Data Science/ ETL/ Talend/ Snowflake Developer

We are looking for a Data Science Engineer with strong experience in ETL development and Talend to join our data and analytics team. The ideal candidate will be responsible for designing robust data pipelines, enabling analytics and AI solutions, and working on scalable data science projects that drive business value. Key Responsibilities: Design, build, and maintain ETL pipelines using Talend Data Integration . Extract data from multiple sources (databases, APIs, flat files) and load it into data warehouses or lakes. Ensure data integrity , quality , and performance tuning in ETL workflows. Implement job scheduling, logging, and exception handling using Talend and orchestration tools. Prepare and transform large datasets for analytics and machine learning use cases. Build and deploy data pipelines that feed predictive models and business intelligence platforms. Collaborate with data scientists to operationalize ML models and ensure they run efficiently at scale. Assist in feature engineering , data labeling , and model monitoring processes. Required Skills & Qualifications: Bachelors or Masters degree in Computer Science, Information Technology, Data Engineering, or a related field. 3+ years of experience in ETL development , with at least 2 years using Talend . Proficiency in SQL , Python (for data transformation or automation) Hands-on experience with data integration , data modeling , and data warehousing . Must have Strong Knowledge of cloud platforms such as AWS , Azure , or Google Cloud . Familiarity with big data tools like Spark, Hadoop, or Kafka is a plus.