Data Engineer

درباره‌ی این فرصت شغلی

About the Role

We are seeking a Mid-Level / Senior Data Engineer to Design, implement, and maintain scalable data pipelines and storage solutions that enable company-wide data-driven decision-making. You'll manage real-time analytics systems, collaborate with cross-functional teams, and ensure efficient, reliable data flow.

Technical Skills

• Programming Languages: Python, Java or Scala
• Database Technologies: SQL, NoSQL (e.g., MongoDB, Cassandra)
• Data Processing Frameworks: Apache Spark, Hadoop
• Data Warehousing: Amazon Redshift, Google BigQuery, Snowflake
• ETL Tools: Apache Airflow, Apache Nifi, Talend, Informatica
• Cloud Platforms: AWS, Azure, Google Cloud Platform
• Version Control: Git, GitHub, Gitlab

Responsibilities:

• Design, develop, and maintain scalable data pipelines using Apache Spark and other Big Data technologies.

· Build and maintain data architectures on Hadoop or similar distributed file systems.

· Collaborate with cross-functional teams to identify, Design, and implement data-driven solutions to complex business problems.

· Optimize data systems for maximum performance and scalability.

· Develop and manage real-time analytics systems, ensuring their reliability, performance, and maintenance.

· Propose and refine data Architecture to meet evolving business needs.

· Collaborate with Business Intelligence, Ventures, and Data Science teams to ensure their data requirements are met.

· Monitor and troubleshoot data services, resolving any issues that arise.

· Set up real-time analytics solutions tailored to specific services and business demands.

· Ensure highly efficient data pipelines by identifying and fixing performance bottlenecks.

· Design, implement and maintain data infrastructure to ensure steady and undisrupted data flow.

مزایا

بیمه, صبحانه, کمک هزینه ناهار, ساعت کاری منعطف, امریه, تسهیلات آموزشی, بیمه تکمیلی, بودجه تیم سازی, هدایای مناسبتی, رویدادهای تفریحی, اتاق بازی

مهارت‌ها

Python, MongoDB, Git, Gitlab, Mql