
Senior Cloud Data Architect
2 days ago
Data Engineers design and build robust data pipelines to power AI solutions.
Description:We are seeking skilled professionals to develop efficient ETL/ELT workflows ensuring data quality, security, and scalability to support AI model training in a cloud-native environment.
Key Responsibilities:- Develop ETL/ELT pipelines for structured, unstructured, and streaming data in AWS environments.
- Leverage AWS services for scalable data ingestion, transformation, storage, and querying.
- Ensure robust data governance, security, and quality controls throughout the data lifecycle.
- Enable real-time and batch data processing pipelines to power AI-driven workflows.
- Collaborate with AI teams to prepare clean datasets for model training.
- Optimize data infrastructure for high performance, scalability, reliability, and cost efficiency.
- Implement CI/CD pipelines and best practices in a cloud-native architecture.
- Maintain thorough documentation of data pipelines and processes.
- 3-7 years of experience in Data Engineering, building data pipelines, and cloud-based data solutions.
- Strong programming skills in Python, SQL, and/or Scala/Java.
- Expertise in AWS cloud services, including S3, Glue, EMR, Redshift, Athena, Kinesis, Lambda, Step Functions, DynamoDB, and RDS.
- Experience with data pipeline orchestration tools.
- Proficiency in big data frameworks like Apache Spark, Hadoop, or Flink.
- Solid understanding of data modeling, data warehousing concepts, and schema design principles.
- In-depth knowledge of data governance, lineage, security policies (IAM roles, encryption).
- Experience working in regulated industries with a focus on compliance and data privacy.
- Problem-solving skills and ability to work in a collaborative team environment.
- Passion for designing scalable and efficient cloud-native data solutions.
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