Data Engineer-Data Integration

Key Responsibilities:

• Develop and maintain data pipelines for batch and stream processing using Informatica PowerCenter or cloud ETL/ELT tools.
• Implement and validate predictive and statistical models, incorporating machine learning techniques for big data applications.
• Design and implement enterprise search applications such as Elasticsearch and Splunk to meet client requirements.
• Collaborate in an Agile environment with data scientists, engineers, consultants, and DBAs to solve complex analytical challenges.
• Build reusable programs for data cleansing, integration, and transformation; develop predictive or prescriptive models and evaluate modeling results.
• Liaise with business teams and technical leads to gather requirements, identify data sources, and resolve data quality issues.
• Assist data scientists and business analytics teams with data ingestion and technical data-related challenges.