
Cloud Data Solutions Architect
2 weeks ago
Job Title: Data Engineer
We are seeking skilled professionals to design, build and manage robust data pipelines in a cloud-native environment.
The role focuses on developing efficient ETL/ELT workflows, ensuring data quality, security, and scalability to support AI/ML model training and inference processes.
Key Responsibilities:
- Design, develop, and maintain ETL/ELT pipelines to process structured, unstructured, and streaming data.
- Leverage AWS services such as S3, Glue, EMR, Lambda, Kinesis, Step Functions, Redshift, Athena, DynamoDB, RDS, and Lake Formation for scalable data ingestion, transformation, storage, and querying.
- Ensure robust data governance, security, and quality controls throughout the data lifecycle, supporting regulatory compliance.
- Collaborate closely with AI/ML teams to prepare clean, high-quality datasets optimized for model training and inference.
Required Skills & Qualifications:
- Hands-on 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 such as Apache Airflow, AWS Step Functions, Dagster, or similar.
Benefits:
- Opportunity to work in a collaborative team environment.
- Passion for designing scalable and efficient cloud-native data solutions.
Others:
- Familiarity with DevOps practices, including Infrastructure as Code (Terraform, CloudFormation), CI/CD automation, Git, and containerization (Docker).
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