Are you a seasoned data engineer with a passion for both leadership and hands-on technical work? Do you thrive in an environment that values innovation, collaboration, and cutting-edge technologies? We are seeking a highly skilled Technical Lead Data Integration Engineer with over 10 years of experience in Data integration, Apache Airflow, Apache Kafka, Snowflake, SQL, and Python, AWS, SAP SLT, HVR, Syniti and Qlik Replicate to join our dynamic team.
Role and Responsibilities:
As the Technical Lead Data Engineer, you will play a pivotal role in shaping the future of our data integration engineering initiatives. You will lead a team of talented data integration engineers while remaining actively involved in the technical aspects of the projects. Your responsibilities will include:
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Technical Leadership: Provide guidance, mentorship, and technical leadership to a team of data integration engineers. Lead by example and foster a collaborative and innovative environment.
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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.
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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.
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Tool Proficiency: Leverage your expertise in Snowflake, SQL, Apache Airflow, AWS, API, SAP SLT and Python to architect, develop, and optimize data solutions. Stay current with emerging technologies and industry best practices.
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Data Quality: Monitor data quality and integrity, implementing data governance policies as needed.
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Cross-Functional Collaboration: Collaborate with data science, data warehousing, analytics, and other cross-functional teams to understand data requirements and deliver actionable insights.
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Performance Optimization: Identify and address performance bottlenecks within the data infrastructure. Optimize data pipelines for speed, reliability, and efficiency.
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SAP Integration expertise: Implement and manage SAP data integration processes, including ETL tasks and real-time integrations. Work with SAP tools like SAP Data Services, SLT, and other relevant technologies.
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Project Management: Oversee end-to-end project delivery, from requirements gathering to implementation. Ensure projects are delivered on time and within scope.
Qualifications:
- Minimum Bachelor's degree in Computer Science, Engineering, or related field. Advanced degree is a plus.
- Minimum of 10 years of hands-on experience in data engineering.
- Familiarity with cloud platforms, such as AWS or Azure.
- Expertise in Python, Apache Airflow, Kafka, Snowflake, SAP ERP, SQL Database, SQL, SAP SLT, Shell scripting, API gateways, web services setup, and HVR.
- 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.
If you are a results-oriented Technical Lead Data Integration Engineer with a strong background in Apache Airflow, Snowflake, SQL, Python, API, SAP SLT, SYINITI, Qlik Replica and team leadership, we encourage you to apply. Join us in building data solutions that drive business success and innovation
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.
