Senior Data Engineer

Description

Summary: Design and implement robust, scalable data pipelines, integrate Sinch platforms, optimize workflows, and lead data engineering projects. Highlights: 1. Lead data engineering projects and serve as a technical reference. 2. Design modern data pipelines and architectures with cloud environments. 3. Advocate for Data Engineering best practices and innovative ideas. **Responsibilities** * Design and implement **robust, scalable data pipelines** that ensure data accuracy and availability across multiple platforms. * Work on the **data integration** of various Sinch platforms and products worldwide. * Contribute to data pipelines development, performance, quality, monitoring, and maintenance. * **Optimize** existing data workflows and databases for performance and scalability, using best practices and cutting\-edge tools. * Identify opportunities for improvement in our products, business, and architecture through the strategic use of data. * **Lead data engineering projects** , serving as a **technical reference** and providing guidance to team members (e.g., through code reviews). * Collaborate actively with data scientists, analysts, and product teams to understand data needs and deliver high\-quality solutions. * Advocate for **Data Engineering best practices** both inside and outside the team. Stay abreast of emerging technologies and industry trends to contribute innovative ideas to our data strategy. * **Must Have** * **Consistent experience** as a Data Engineer or in a related role. * Strong knowledge of **software development** (e.g., **Python** , Spark, Git, CI/CD, Docker). * Expertise in **SQL** to query data and build **ETL/ELT** processes. * Proficiency in designing modern data pipelines and architectures. * Experience working with **Data Lake and Data Warehouse** concepts, using best practices to structure and store big volumes of data. * Ability to **troubleshoot and optimize** data pipelines for performance and reliability. * Experience in data pipeline creation/orchestration tools (e.g., **Airflow** , **Dagster** ). * Hands\-on knowledge of cloud environments (e.g., **AWS** or **GCP** ). * Experience using **Databricks** or database technologies such as **Snowflake** or **Delta Lake** . * Knowledge of different data architectures (e.g., Data Lake, Data Mesh, Data Fabric). * **Fluent English** for effective communication with technical and business stakeholders. * Demonstrated ability to collaborate effectively and **communicate complex ideas clearly** . **Nice to Have** * Experience with **real\-time data processing** and related tools/frameworks. * Experience designing and implementing new data architectures. * Experience using any **data governance/management tool** . * Experience using a tool (e.g., **Dremio** ) to create a **virtualization layer** . * Knowledge of data security best practices (encryption, access controls). * Ability to organize and break down complex projects/initiatives into manageable tasks.