فلایتیو
فلایتیو

Data Engineer

Tehran/ Abas Abad(Beheshti)
Full Time
Sat to Wed
-
Loan -Health insurance -Game room -Resting space -Recreational and tourism facilities -Occasional packages and gifts
51 - 200 employees
Travel / Hotel / Tourism
Iranian company dealing with Iranian and foreign customers
1393
Privately held
توضیحات بیشتر

key Requirements

5 years experience in similar position
Sql Server - Intermediate
Python - Intermediate
Kafka - Intermediate
Docker - Intermediate

Job Description

Are you passionate about designing and building scalable data solutions that empower businesses to make data-driven decisions? We’re looking for a Senior Data Engineer to join our team and lead the development of advanced data systems in a growing and dynamic environment.

Responsibilities:

       Design, build, implement, and maintain data warehouses and self-service business intelligence solutions.

       Develop scalable, efficient ETL/ELT processes and optimize SQL for seamless data flows.

       Create and manage robust data pipelines, ensuring reliability, accuracy, and performance.

       Collaborate with cross-functional teams to define and implement datasets for various use cases, including batch-based analytics and real-time streaming.

       Troubleshoot performance bottlenecks in data pipelines and warehouses, implementing solutions to enhance efficiency.

       Apply modern best practices for data quality, lineage, governance, and cleaning to maintain optimal pipeline performance.

       Lead the adoption and integration of data tools and frameworks such as Airflow, Snowflake, Docker, GitLab CI, Kafka, AWS, GoodData, or alternatives.

       Mentor junior engineers and collaborate as part of agile development teams to deliver frequent and confident releases.

Requirements:

       Experience: At least 6 years of proven experience in Data Engineering, with expertise in building and optimizing large-scale data solutions.

       Technical Proficiency:

       Strong SQL skills and extensive experience with ETL/ELT processes.

       Proficiency in one or more analytical programming languages such as Python.

       Hands-on experience with modern data tools and frameworks (e.g., Airflow, Snowflake, Docker, Kafka, AWS).

       Analytical Expertise: Understanding of common analytical practices, statistical methods, and dataset design for varied use cases.

       Best Practices: Deep knowledge of data pipeline design, data governance, lineage, and data quality management.

 

Job Requirements

Age
24 - 40 Years Old
Gender
Men / Women
Military service
Military service must be done
Software
Docker| Intermediate Kafka| Intermediate Python| Intermediate Sql Server| Intermediate

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