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Data Engineer

  • Halifax, NS, Canada

Contract

This opening has closed.

The original listing is kept below for reference.

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Job type
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Posting language
English · French
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Original job description

Archived listing. The details below describe a past opening.

English section of this bilingual listing.

Role: Data Engineer

Location: Halifax, Canada (ONSITE)

Duration: Long Term

Key Responsibilities:

  • Design and implement complex ETL/ELT workflows for diverse data sources both on-prem and Cloud platform (AWS)
  • Build and optimize data lake architectures on Cloudera Data Platform (CDP)
  • Develop data models in Snowflake cloud warehouse and CDP environments
  • Implement CI/CD pipelines using Helios for data infrastructure automation
  • Collaborate with analysts to enable advanced analytics on data lake assets
  • Ensure security/governance compliance for sensitive data at scale
  • Technical Expertise Required:
  • Python: Advanced scripting for data processing, API integration, and automation
  • AWS : Amazon S3,AWS Glue
  • Cloud Services: AWS/Azure storage integration with CDP/Snowflake

Soft Skills:

  • Problem-solving for hybrid cloud data challenges
  • Cross-functional collaboration with data scientists and analysts
  • Clear communication of complex technical solutions
  • Nice-to-Have Qualifications:
  • Certifications: Cloudera CCP, SnowPro, Red Hat OpenShift
  • Experience with streaming platforms (Flink, Kafka Streams)
  • MLOps patterns for model deployment
Read the full bilingual original

Role: Data Engineer

Location: Halifax, Canada (ONSITE)

Duration: Long Term

Key Responsibilities:

  • Design and implement complex ETL/ELT workflows for diverse data sources both on-prem and Cloud platform (AWS)
  • Build and optimize data lake architectures on Cloudera Data Platform (CDP)
  • Develop data models in Snowflake cloud warehouse and CDP environments
  • Implement CI/CD pipelines using Helios for data infrastructure automation
  • Collaborate with analysts to enable advanced analytics on data lake assets
  • Ensure security/governance compliance for sensitive data at scale
  • Technical Expertise Required:
  • Python: Advanced scripting for data processing, API integration, and automation
  • AWS : Amazon S3,AWS Glue
  • Containerization: Docker image management; orchestration via Kubernetes/OCP4
  • Data Platforms:
  • Cloudera Data Platform (CDP) for Hadoop/Spark ecosystems
  • Snowflake cloud data warehouse architecture
  • Storage Solutions: Data lake design (S3/ADLS), structured/unstructured data optimization
  • Pipeline Tools: Airflow, Kafka, Helios CI/CD
  • Version Control: GitHub collaboration
  • Cloud Services: AWS/Azure storage integration with CDP/Snowflake

Soft Skills:

  • Problem-solving for hybrid cloud data challenges
  • Cross-functional collaboration with data scientists and analysts
  • Clear communication of complex technical solutions
  • Nice-to-Have Qualifications:
  • Certifications: Cloudera CCP, SnowPro, Red Hat OpenShift
  • Experience with streaming platforms (Flink, Kafka Streams)
  • MLOps patterns for model deployment
More about this job

Responsibilities

Design and optimize ETL/ELT workflows, data lake architectures, and data models across on-premises and cloud environments, including AWS, Cloudera Data Platform, and Snowflake. Automate data infrastructure with CI/CD pipelines, support analytics collaboration, and ensure security and governance for sensitive data.

Requirements

Requires advanced Python skills and experience with AWS, Cloudera Data Platform, Snowflake, data lake design, and ETL/ELT workflows. Also calls for containerization and orchestration experience, pipeline tools such as Airflow and Kafka, GitHub collaboration, and the ability to solve hybrid-cloud challenges and communicate across teams.

Skills

  • Python
  • AWS
  • Amazon S3
  • AWS Glue
  • Cloudera Data Platform
  • Snowflake
  • Docker
  • Kubernetes
  • OpenShift
  • Airflow
  • Kafka
  • Helios
  • GitHub
  • ETL/ELT
  • Data Lake Architecture
  • CI/CD

Visa sponsorship

Not detected in the job text

Categories

  • Data & Analytics
  • Technology
  • Software

Keywords

  • Python
  • AWS
  • Amazon S3
  • AWS Glue
  • Cloudera Data Platform
  • Hadoop
  • Spark
  • Snowflake
  • Docker
  • Kubernetes
  • OpenShift
  • Airflow
  • Kafka
  • Helios
  • GitHub
  • ETL/ELT
  • Data Engineering
  • Data Lake
  • Data Modeling
  • CI/CD
  • Cloud Data Warehouse
  • Data Governance
  • Data Security
  • Azure
  • ADLS
  • Flink
  • Kafka Streams
  • MLOps
  • Cloudera CCP
  • SnowPro

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