Cloud Data Engineer
Full-time
Dempsey Resource Management Inc.
Design, build, and maintain cloud-based data pipelines and workflows that support analytics and operational systems.
Integrate data from various sources using APIs and cloud services.
Develop clean, efficient, and test-driven code in Python for data ingestion and processing.
Optimize data storage and retrieval using big data formats like Apache Parquet and ORC.
Requirements
At least 3 years in a data engineering role working on data integration, processing, and transformation use cases with open-source languages (i.e. Python) and cloud technologies.
Strong programming skills in Python specifically for API integration and data libraries, with emphasis on quality and test-driven development.
Demonstrated proficiency with big data storage formats (Apache Parquet, ORC) and practical knowledge of pitfalls and optimization strategies.
Demonstrated proficiency with SQL
Experience with data modeling:
o Relational modeling
o Dimensional modeling
o NoSQL modeling
Working knowledge of IaC on AWS (CloudFormation or CDK)
Working knowledge of AWS Services:
o Required: Glue, IAM, Lambda, DynamoDb, Step Functions, S3, CloudFormation or CDK
o Nice-to-have: Athena, Kinesis, MSK, MWAA, SQS
Experience with orchestration of data flows/pipelines: Apache Airflow or Dagster
Nice-to-have:
o Experience with data streaming (Kinesis, Kafka)
o Experience with Apache Spark
o Client-facing experience, multi-cultural team experience, technical leadership, team leadership
Vacancy posted a month ago
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