
Senior Cloud Data Specialist
3 days ago
We are seeking skilled data engineers to design, build and manage robust data pipelines that power our AI solutions. The role focuses on developing efficient ETL/ELT workflows ensuring data quality, security and scalability to support AI/ML model training, inference and intelligent decision-making processes.
- We require experience in building scalable cloud-based data solutions using AWS services such as S3, Glue, EMR, Redshift and Athena.
- You will be responsible for designing, developing and maintaining ETL/ELT pipelines to process structured, unstructured and streaming data in AWS environments.
- A key part of the role is to work closely with AI/ML teams to prepare clean, high-quality datasets optimized for model training, inference and fine-tuning.
Skills & Qualifications:
- Experience with programming languages including Python, SQL and/or Scala/Java.
- Expertise in big data frameworks like Apache Spark, Hadoop or Flink.
- Familiarity with data governance, lineage and security policies (IAM roles, encryption).
- Hands-on experience in managing real-time streaming data using Kafka, Kinesis or equivalent tools.
Preferred Attributes:
- Strong problem-solving skills and ability to work in a collaborative team environment.
- Passion for designing scalable and efficient cloud-native data solutions.
The ideal candidate will have hands-on experience working with cloud services and a strong understanding of data engineering concepts and best practices. We offer a dynamic and supportive work environment where you can grow your career and develop new skills.
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