Location
Halifax, NS | Canada
Job description
Data Engineer
Position Description
As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines, databases, and analytics solutions.
Your expertise in data engineering tools and platforms will drive the efficient processing, storage, and retrieval of data.
You’ll collaborate with data scientists, analysts, and other stakeholders to ensure data availability, quality, and reliability.
Your future duties and responsibilities
Responsibilities:
Data Pipeline Development:
• Design, implement, and optimize data pipelines for ingesting, transforming, and loading data from various sources.
• Use ETL (Extract, Transform, Load) processes to move and transform data efficiently.
• Ensure data consistency, accuracy, and timeliness.
Database Management:
• Work with relational databases (such as PostgreSQL, MySQL, or Oracle) and NoSQL databases (like MongoDB or Cassandra).
• Design schema, create tables, and manage data storage.
• Optimize database performance and query execution.
Tech Stack:
• Programming Languages: Proficiency in Python, Java, or Scala for data processing and scripting.
• Big Data Technologies: Familiarity with Apache Hadoop, Spark, and Kafka.
• Data Warehousing: Experience with data warehousing solutions (e.g., Amazon Redshift, Google BigQuery, Snowflake).
• Cloud Platforms:
- Google Cloud Platform (GCP):
- Designing and deploying scalable, highly available, and fault-tolerant systems on GCP.
- Managing and provisioning GCP infrastructure using Infrastructure as Code tools (e.g., Terraform, Google Cloud Deployment Manager).
- Automating GCP operations using scripting languages (Python, Bash) and GCP SDKs or APIs
Collaboration:
• Work closely with data scientists and analysts to understand their data requirements.
• Collaborate with cross-functional teams to ensure seamless integration of data solutions.
• Participate in architectural discussions and provide technical guidance.
Required qualifications to be successful in this role
Qualifications:
Education: Bachelor’s or Master’s degree in Computer Science, Information Technology, or related fields.
Experience:
• Minimum 3-5 years of experience in data engineering.
• Proficiency in SQL and database design.
• Familiarity with data modeling and schema design.
Desired Skills:
• Data Security: Understanding of data security best practices.
• Monitoring and Troubleshooting: Ability to monitor and troubleshoot data pipelines using tools like GCP Stackdriver and Cloud Monitoring.
• Automation: Experience automating data processing tasks using scripting languages (Python, Bash).
#LI-MT1
Insights you can act on While technology is at the heart of our clients’ digital transformation, we understand that people are at the heart of business success.
When you join CGI, you become a trusted advisor, collaborating with colleagues and clients to bring forward actionable insights that deliver meaningful and sustainable outcomes. We call our employees "members" because they are CGI shareholders and owners and owners who enjoy working and growing together to build a company we are proud of. This has been our Dream since 1976, and it has brought us to where we are today — one of the world’s largest independent providers of IT and business consulting services.
At CGI, we recognize the richness that diversity brings. We strive to create a work culture where all belong and collaborate with clients in building more inclusive communities. As an equal-opportunity employer, we want to empower all our members to succeed and grow. If you require an accommodation at any point during the recruitment process, please let us know. We will be happy to assist.
Ready to become part of our success story? Join CGI — where your ideas and actions make a difference.
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