Data Integration Engineer
Intuitive Surgical
- Bangalore, Karnataka
- Permanent
- Full-time
- Hands-On Contribution: Continue to be hands-on with data integration engineering tasks, including data pipeline development, EL processes, and data integration. Be the go-to expert for complex technical challenges.
- Integrations Architecture: Design and implement scalable and efficient data integration architectures that meet business requirements. Ensure data integrity, quality, scalability, and security throughout the pipeline.
- Tool Proficiency: Leverage your expertise in Snowflake, SQL, Apache Airflow, AWS, API, and Python to architect, develop, and optimize data solutions. Stay current with emerging technologies and industry best practices.
- Data Quality: Monitor data quality and integrity, implementing data governance policies as needed.
- Cross-Functional Collaboration: Collaborate with data science, data warehousing, analytics, and other cross-functional teams to understand data requirements and deliver actionable insights.
- Performance Optimization: Identify and address performance bottlenecks within the data infrastructure. Optimize data pipelines for speed, reliability, and efficiency.
- Minimum Bachelor's degree in Computer Science, Engineering, or related field. Advanced degree is a plus.
- 5 years of hands-on experience in data engineering.
- Familiarity with cloud platforms, such as AWS or Azure.
- Expertise in Apache Airflow, Kafka, Snowflake, SAP ERP, SQL Database, SQL, SAP SLT, Python, Shell scripting, API gateways, web services setup.
- Strong experience in full-stack development, AWS, Linux administration, Airflow administration, data lake construction, data quality assurance, and integration metrics.
- Excellent analytical, problem-solving, and decision-making abilities.
- Strong communication skills, with the ability to articulate technical concepts to non-technical stakeholders.
- A collaborative mindset, with a focus on team success.