Family support

Intuitive Surgical India

5 - 8 years

30 - 35 Lacs

bengaluru

Posted:1 week ago| Platform:

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Skills Required

computer science analytical shell scripting healthcare data quality apache analytics sql python recruitment

Work Mode

Work from Office

Job Type

Full Time

Job Description

As the Technical Data Integration Engineer, you will play a pivotal role in shaping the future of our data integration engineering initiatives. You will be part of talented data integration engineers while remaining actively involved in the technical aspects of the projects. Your responsibilities will include:

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.

Qualifications

Minimum Bachelors 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, Snowflake, SQL, Python, Shell scripting, API gateways, web services setup.
Strong experience in full-stack development, AWS, Linux 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.

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