کوکافه | KooCafe

کامپیوتر، فناوری اطلاعات و اینترنت ۵۱ تا ۲۰۰ نفر koocafe.ir

فرصت‌های شغلی ۳

استخدام Senior Data Engineer

دسته‌بندی شغلی

وب،‌ برنامه‌نویسی و نرم‌افزار
موقعیت مکانی

تهران ، تهران
نوع همکاری

تمام وقت دورکاری
حداقل سابقه کار

سه تا شش سال
حقوق

از ۹۰,۰۰۰,۰۰۰ تومان

شرح موقعیت شغلی

About Us:
At Koocafe, we're dedicated to curating the ultimate café experience for everyone. Our mission is to connect coffee enthusiasts with the best cafes while also empowering these cafes with the technical infrastructure to effortlessly provide top-quality online services to their customers. Koocafe currently serves users and cafes in multiple countries worldwide and is actively expanding its business in Iran. If you're passionate about joining us on this journey and becoming part of our team, we eagerly await your CV.

Job Description:
We are seeking a talented and proactive Senior Data Engineer to join our dynamic team. As a Senior Data Engineer at Koocafe, you will work with cutting-edge cloud technologies like Databricks, Kafka, Spark, DBT, and Python libraries to build robust data pipelines and scalable infrastructure. You will collaborate with cross-functional teams including product, engineering, and data science to ensure seamless data flow, optimize our platform, and drive strategic business decisions through reliable data systems.

Responsibilities:

Design, implement, and maintain robust and scalable data pipelines using AWS, Azure, and containerization technologies.
Develop and maintain ETL/ELT processes to extract, transform, and load data from various sources into data warehouses and data lakes.
Collaborate with data scientists, analysts, and other engineers to ensure seamless data flow and availability across the organization.
Optimize data storage and retrieval performance by utilizing cloud services like AWS Redshift, Azure Synapse, or other relevant technologies.
Work with containerization tools like Docker and Kubernetes to ensure smooth deployment, scalability, and management of data pipelines.
Monitor, troubleshoot, and optimize data processing pipelines for performance, reliability, and cost-efficiency.
Automate manual data processing tasks and improve data quality by implementing data validation and monitoring systems.
Implement and maintain CI/CD pipelines for data workflow automation and deployment.
Ensure compliance with data governance, security, and privacy regulations across all data systems.
Participate in code reviews and ensure the use of best practices and documentation for data engineering solutions.
Stay up-to-date with the latest data engineering trends, cloud services, and technologies to continuously improve system performance and capabilities.

Requirements:

High level of English, both written and verbal.
Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field.
Proven experience as a Data Engineer, with hands-on experience building and managing data pipelines.
Strong proficiency in cloud technologies, specifically AWS (e.g., S3, Redshift, Glue) and Azure (e.g., Data Lake, Azure Synapse).
Experience working with containerization and orchestration tools such as Docker and Kubernetes.
Proficient in data engineering programming languages, such as Python, Java, or Scala.
Solid experience with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra).
Familiarity with data processing frameworks like Apache Spark, Apache Kafka, or similar tools.
Experience with workflow orchestration tools like Apache Airflow, DBT, or similar.
Knowledge of data warehousing concepts and technologies (e.g., Snowflake, Amazon Redshift, or Google BigQuery).
Strong understanding of ETL/ELT processes and best practices.
Experience with version control systems like Git.
Strong problem-solving skills and a proactive approach to troubleshooting and optimization.
Excellent communication and collaboration skills to work with cross-functional teams.

Preferred Qualifications:

Experience with data governance and security best practices in cloud environments.
Familiarity with infrastructure-as-code tools such as Terraform or CloudFormation.
Experience in working with machine learning and analytics tools for data analysis and reporting.
Knowledge of data visualization tools (e.g., Power BI, Tableau) is a plus.
Previous experience working in agile development teams.

Benefits:

Competitive salary commensurate with experience.
Remote work opportunity with flexible hours.
Comprehensive benefits package.
Professional development and training opportunities.
Dynamic and inclusive work culture with opportunities for growth and advancement.

Please send your CV in English.

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معرفی شرکت

ما، در کوکافه، سعی می‌کنیم که بهترین تجربه رو برای کاربران، در پیدا کردن بهترین کافه‌ها فراهم کنیم. همچنین زیرساخت فنی کافه‌ها رو فراهم می‌کنیم که به مشتری‌هاشون به راحتی و با بالاترین کیفیت سرویس‌دهی آنلاین داشته باشن. کوکافه در حال حاضر در چند کشور خارجی یوزرها و کافه‌ها رو به عنوان مشتریش داره و در حال رشد بیزینس در ایران هستیم. اگه دوست دارید در این مسیر با ما همراه بشین و به تیم ما بپیوندید، خیلی خوشحال می‌شیم رزومتون رو داشته باشیم.

مزایای کار با کوکافه:
• چالش های کاری جذاب
• فرصت رشد و یادگیری
•کمک هزینه ناهار و میان وعده
• ووچر استفاده از کافی شاپ های همکار
• اعطای تسهیلات و وام کارکنان
• بیمه تکمیلی
• هزینه باشگاه ورزشی
• هدایای مناسبتی
• دورکاری
• تجهیزات مناسب دورکاری
• پاداش فصلی
• امکان پرداخت حقوق به دلار