Working Time: Night Shift 

Salary Range: $20000 to $30000 annum

Working: Remote

• Engaging with business stakeholders to understand and define business requirements, ensuring that data solutions are aligned with business goals.
• Leading the design, development, and implementation of data warehousing anddata cataloging solutions, ensuring they effectively support data storage and retrieval needs.
• Developing and optimizing data pipelines and ETL processes to ensure efficientand reliable data flow from various sources into the data warehouse.
• Creating and maintaining BI dashboards using Tableau, focusing on the accurate representation of key insurance industry metrics and insights.
• Managing the ongoing maintenance and monitoring of data infrastructure toensure high performance, reliability, and scalability.
• Proactively identifying and addressing data quality issues, implementing strategies and toolsto ensure data accuracy and consistency acrosstheorganization.
• Developing data quality metrics and conducting regular data audits and manual investigations to validate data integrity and compliance with quality standards.

• Minimum of 5 years in data engineering roles, with a hands-on approach.
• Comprehensive experience in large-scale data systems with relational databasesand NoSQL technology on the public cloud (e.g., PostgreSQL, MySQL, MongoDB, etc.)
• Proficiency in coding languages such as Python and SQL.
• Extensive experience in designing and deploying data solutions using AWS services like Redshift, Appflow, and Airflow DAG.
• Familiarity with data pipeline and transformation tools like DBT.
• Deep experience with BI tools, specifically Tableau, and the ability to work with stakeholders to understand and implement KPIs and metrics.
• Experience with ETL, ELT, and other data processing methodologies.
• A proven track record of operationalizing data systems for scalability, reliability,and performance.
• Solid understanding of PII standards, processes, and security protocols.