Data Automation Engineer

2 weeks ago

Toronto, Ontario, Canada MSI Corp Full time

We are seeking a highly skilled Data Automation Engineer to join our dynamic team. The successful candidate will be responsible for automating data workflows, optimizing data collection, processing, and integration processes, and ensuring the scalability and efficiency of our data pipelines. You will work closely with data engineers, analysts, and IT teams to design and implement solutions that automate the flow of data across various systems and platforms.

Key Responsibilities:
  • Design, build, and maintain automated data pipelines to ingest, process, and transform data from various sources to support business analytics, reporting, and decision-making.
  • Improve the efficiency and scalability of data workflows by automating repetitive tasks, such as data extraction, cleaning, and loading (ETL processes).
  • Work closely with data scientists, analysts, and IT teams to ensure that data flows smoothly across the organization and is processed correctly.
  • Develop automated validation checks and monitoring tools to ensure the quality and integrity of the data throughout the pipeline.
  • Build and Maintain Documentation: Document automation processes, pipelines, and systems to ensure transparency and ease of understanding for stakeholders and future team members.
  • Monitor and Troubleshoot Pipelines: Continuously monitor the performance of automated data pipelines and address any issues related to data quality, performance, or failures.
  • Automate Data Reporting: Create automated solutions for generating and delivering reports, dashboards, or notifications to relevant stakeholders.
  • Implement Best Practices: Follow and advocate for best practices in automation, data management, and security.
Skills & Qualifications:
  • Bachelor's Degree in Computer Science, Data Engineering, Information Technology, or related field (or equivalent experience).
  • 3+ years of experience in data automation, data engineering, or related roles.
  • Proficiency in Python or other scripting languages for data automation tasks.
  • Experience with ETL tools (e.g., Apache Airflow, Talend, Informatica, or custom Python-based pipelines).
  • Solid understanding of data storage technologies, such as relational databases (SQL), NoSQL, cloud storage, or data lakes.
  • Familiarity with cloud platforms (AWS, Google Cloud, Microsoft Azure) and related data services (e.g., S3, BigQuery, Redshift).
  • Experience with data processing frameworks like Apache Spark, Kafka, or Apache Beam is a plus.
  • Strong knowledge of data integration tools and techniques.
  • Ability to work with version control systems (e.g., Git) and CI/CD pipelines.
  • Understanding of data governance and best practices for data security and privacy.
  • Excellent problem-solving skills and the ability to troubleshoot complex data workflows.
  • Strong communication skills and the ability to collaborate effectively with cross-functional teams.
Preferred Qualifications:
  • Experience with data visualization and reporting tools (e.g., Power BI, Tableau).
  • Familiarity with containerization (Docker, Kubernetes) for deployment of data automation tools.
  • Knowledge of machine learning workflows and automating data processes for ML model training and deployment is a plus.
Seniority level

Mid-Senior level

Employment type

Contract

Job function

Engineering and Information Technology

Industries

Telecommunications

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