Senior Data Integration Engineer
We are seeking a passionate and experienced Senior Data Integration Engineer to lead the design, development, and optimization of scalable and efficient data engineering solutions. This position involves managing complex data systems, enhancing data workflows, and collaborating across teams to foster a strong data ecosystem.
If you are a results-oriented professional with deep knowledge of modern data integration tools and a talent for creating impactful solutions, we encourage you to apply.
Responsibilities
- Design, develop, and maintain robust, scalable, and reusable ETL/ELT solutions to meet business and analytical needs
- Automate data extraction, transformation, and loading processes for various sources and destinations
- Build and optimize data pipelines for managing structured and unstructured data in modern cloud environments
- Collaborate with engineers, analysts, and stakeholders to promote effective data integration and workflow processes
- Leverage best practices to deliver reliable and quality engineering solutions for data ingestion, transformation, and provisioning
Requirements
- 3+ years of experience in data integration and data warehousing
- Proficiency in Python and PySpark for data engineering tasks
- Familiarity with Databricks for unified data analytics and processing
- Strong knowledge of designing and implementing ETL/ELT pipelines
- Experience with SQL/NoSQL databases for data processing and querying
- Familiarity with orchestration tools including Apache Airflow
- Expertise in Snowflake or comparable cloud solutions such as Azure or AWS for data warehousing and storage
- Understanding of modern data engineering tools and concepts, encompassing performance optimization, data architecture, and pipeline scalability
- Strong communication and teamwork skills coupled with a proactive and delivery-focused approach
- English level of minimum B2 (Upper-Intermediate) for effective communication
Nice to have
- Showcase of Databricks usage for unified data analytics and processing
- Background in integrating diverse data sources across modern cloud platforms
- Familiarity with additional scripting languages to enhance automation and integration tasks
- Proficiency in advanced data management and modeling techniques
