Data Engineer
2 weeks ago
**Job Summary**
In this role, you will be responsible for designing, building, and maintaining big data solutions using cutting-edge technologies. You will work with our team to create robust data infrastructure, develop efficient data pipelines, and ensure seamless data accessibility and security.
**Key Responsibilities**
- Design and implement scalable data models and ETL processes to meet our clients’ business requirements.
- Develop and maintain data infrastructure that can handle large volumes of data and provide high performance.
- Coordinate data access and security to enable data scientists and analysts to easily access data.
**Required Skills**
- Proficient with AWS Data Platform components, including S3, RedShift, RedShift Spectrum, Glue with Spark, and Glue with Python.
- Experience with AWS Kinesis and Managed Streaming for Apache Kafka.
- Knowledge of open-source technologies like Apache Airflow and dbt.
- Ability to develop batch and real-time data pipelines for data warehouses and data lakes.
**What We Offer**
As a member of our team, you will have the opportunity to work on exciting projects, collaborate with talented professionals, and develop your skills in a dynamic and supportive environment.
**About IBM**
IBM is a leading technology and consulting company that helps businesses and governments transform their operations and improve their performance. We are committed to innovation, quality, and customer satisfaction.
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