The JobAxle Executive Search Process Service is extremely special and candidate focused. Our experienced Talent acquisition team offers job opportunities to candidates that match the requirement of our clients from different sectors. The entire process is carried out very confidentially because of our client's requirements. Here we effectively identify candidates searching for a change/ seeking a new job. If the skill sets ... and experiences are matched with the required position, we present them to the organization. Every candidate here is smartly documented in our candidate pool. We have been identifying and attracting the best talent from across the world. We guarantee to place the candidate now or near future to their interested job category or organization.View Company Profile
Senior Data Engineer
No. of Vacancy: 1
Job Type: Full Time
Offered Salary: Negotiable
Career Level: Mid Level
Experience: 5 Years
Apply Before: 2024-03-16 (14 Days Left)
As a Senior Data Engineer, where your expertise in data engineering and data analytics will be pivotal in transforming the insurance industry. This hands-on role requires a combination of technical proficiency, effective communication, and strategic thinking.
Your responsibilities will include:
- 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 and data cataloging solutions, ensuring they effectively support data storage and retrieval needs.
- Developing and optimizing data pipelines and ETL processes to ensure efficient and 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 to ensure high performance, reliability, and scalability.
- Proactively identifying and addressing data quality issues, implementing strategies and tools to ensure data accuracy and consistency across the organization.
- Developing data quality metrics and conducting regular data audits and manual investigations to validate data integrity and compliance with quality standards.
Required Knowledge, Skills, and Abilities:
- Comprehensive experience in large-scale data systems with relational databases and 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.
- Comprehensive understanding of P&C insurance data models, ACORD standards, and OMG standards.
- Experience with Salesforce (desirable).
Education + Experience:
- Minimum of 5 years in data engineering roles, with a hands-on approach.
Interested candidates fulfilling the mentioned criteria are encouraged to Apply using the Easy Apply Button below. Registered candidates may also apply using Apply Now Button.