Data Engineer

Collect, clean, and preprocess structured and unstructured data from various sources to prepare it for analysis.

ü  Perform exploratory data analysis (EDA) to identify trends, patterns, and insights using statistical techniques.

ü  Assist in building, testing, and validating basic predictive models and machine learning algorithms under supervision.

ü  Generate data visualizations (charts, graphs, dashboards) to communicate findings to team members and stakeholders.

ü  Support the development and maintenance of data pipelines and workflows for ongoing analytics projects.

ü  Document data sources, methodologies, and analytical processes to ensure transparency and reproducibility.

ü  Collaborate with cross-functional teams (e.g., business analysts, IT, data engineers) to understand project requirements and deliver actionable insights.

ü  Prepare and present summary reports of analytical results to both technical and non-technical audiences.

ü  Stay updated with emerging data science tools, techniques, and best practices through continuous learning.

ü  Ensure data privacy and security standards are maintained throughout all analytical processes.

ü  Leverage automation, cognitive and AI based solutions to manage data, predict scenarios and prescribe actions