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The Senior Specialist – Data Engineering will be responsible for designing, building, and maintaining scalable data pipelines and architectures. This role requires a deep understanding of data processing, data warehousing, and big data technologies as well as the ability to effectively analyze and interpret large datasets to drive strategic business decisions.
Key Responsibilities
- Design and implement scalable and efficient data pipelines to process large volumes of data from various sources.
- Ensure data pipelines are robust, fault-tolerant, and optimized for performance.
- Develop and maintain data models and schemas to support business requirements.
- Design and implement data storage solutions, including data lakes, data warehouses, and databases.
Qualifications, Experience & Skills:
- Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
- At least 6 years of experience in data engineering or a related role.
- Strong proficiency in programming languages such as Python, Java, etc.
- Extensive experience with big data technologies (e.g., Hadoop, Spark, Kafka).
- Proficiency in SQL and experience with relational and NoSQL databases.
- Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and cloud-based data solutions.