
Cloud Data Architect
3 days ago
Job Title: Data Engineer
Overview:
We are seeking skilled data professionals to design, develop and manage robust data pipelines in a cloud-native environment. The role focuses on developing efficient data workflows, ensuring data quality, security and scalability to support AI model training and intelligent decision-making processes.
Key Responsibilities:
- Design and develop data pipelines to process structured, unstructured and streaming data in AWS environments.
- 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.
- Enable real-time and batch data processing pipelines to power AI-driven workflows and applications.
Requirements:
- 3–7 years of 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.
- Proficiency in big data frameworks like Apache Spark, Hadoop or Flink.
Attributes:
- Familiarity with DevOps practices, including Infrastructure as Code (Terraform, CloudFormation), CI/CD automation, Git and containerization (Docker).
- Ability to work in a collaborative, cross-functional team environment.
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