Data Engineer

We are looking for a Data Engineer for Sabancı Ageas Health Insurance which is building a team for their new insurance product with new technologies.

Qualifications

· Expertise in Qlik Sense as a key skill to manipulate data from multiple sources

· Strong experience in structured report writing using Qlik Sense for effective business intelligence

· Data visualization / BI tools knowledge (preferably Qlik Sense)

· Proficiency in Oracle Data Integrator (ODI) for efficient ETL data transformations

· Mastery in SQL-led operations for advanced database management and optimization

· Highly skilled in ETL tools for consistent data movement and transformation

· Experience in Data Modeling, both logical and physical, for apt data structuring

· 3-5 years of experience in data engineering, demonstrating a steady career growth and increasing responsibility

· Having knowledge or experience in big data ecosystems

· Data Science experience with Python or R programming is a plus

Responsibilities

· Analyzing the analytical and reporting needs of the company and ensuring that it is modeled and implemented in the existing Business Intelligence system

· Design, build and maintain efficient and reliable data pipelines to move and transform large volumes of data

· To carry out tasks for ETL processes

· Collaborate with data scientists and analysts to understand their data requirements and provide the necessary infrastructure and tools

· Develop prototypes and proof-of-concepts for new data processing frameworks and technologies

· Optimize performance and scalability of data processing and storage systems

· Troubleshoot and resolve issues related to data pipelines and processing jobs

· Ensure data quality and integrity through data validation and quality checks

· Implement security measures to protect sensitive data and comply with privacy regulations

· Work closely with cross-functional teams to identify and prioritize data engineering needs

· Stay up to date with the latest trends and advancements in data engineering and recommend improvements to existing processes

· Collaborate with software engineers to integrate data engineering workflows into the overall application architecture.