Python Data Integration Engineer
Python Data Integration Engineer
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Job Description
Are you a seasoned data engineer with a passion for handson technical work Do you thrive in an environment that values innovation collaboration and cuttingedge technologies We are looking for a seasoned Integration Engineer to join our team someone who is passionate about building and maintaining scalable data pipelines and integrations. The ideal candidate will have a strong foundation in Python programming experience with Snowflake for data warehousing proficiency in AWS and Kubernetes (EKS) for cloud services management and expertise in CI/CD practices Apache Airflow DBT and API development. This role is critical to enhancing our data integration capabilities and supporting our datadriven initiatives.
Role and Responsibilities:
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:
- HandsOn Contribution:Continue to be handson with data integration engineering tasks including data pipeline development EL processes and data integration. Be the goto 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.
- CrossFunctional Collaboration:Collaborate with data science data warehousing analytics and other crossfunctional 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 handson 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 fullstack development AWS Linux administration Airflow administration data lake construction data quality assurance and integration metrics.
- Excellent analytical problemsolving and decisionmaking abilities.
- Strong communication skills with the ability to articulate technical concepts to nontechnical stakeholders.
- A collaborative mindset with a focus on team success.
If you are a resultsoriented Data Integration Engineer with a strong background in Apache Airflow Snowflake SQL Python and API we encourage you to apply. Join us in building data solutions that drive business success and innovation
Additional Information :
Intuitive is an Equal Employment Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees and prohibit discrimination and harassment of any type without regard to race sex pregnancy sexual orientation gender identity national origin color age religion protected veteran or disability status genetic information or any other status protected under federal state or local applicable laws.
We will consider for employment qualified applicants with arrest and conviction records in accordance with fair chance laws.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
