Senior Data Engineer
4515 views | Apply Before: 2024-03-23
Job Summary
No. of Vacancy
Job Type
Full Time
Offered Salary
USD 20000 - 30000 Monthly
Career Level
Mid Level
Minimum of 5 years in data engineering roles
Preferred Education
Bachelor in IT/Engineering
Work From Home (Remote)
Apply Before
Job Description

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.
Job Specification
  • 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.
US Based IT Company

Delivers a combination of technology, real-time service, and sales support to the insurance agency’s customers.

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