About Company
Imagine a career where your architectural vision directly shapes the future of data. Career.zycto is at the forefront of leveraging cutting-edge data solutions to drive impactful innovation across various sectors. For a Data Engineer, our dynamic environment offers unparalleled opportunities to design, build, and optimize robust data pipelines and infrastructure that power critical business decisions. Join a collaborative team that values technical excellence, continuous learning, and a passion for turning complex data into actionable insights. We believe in empowering our engineers to tackle challenging problems with creativity and precision, fostering growth and professional development in every project.
Job Description
Are you a highly skilled and passionate Data Engineer eager to build robust, scalable, and efficient data solutions? Career.zycto is seeking an innovative Full-Time Data Engineer to join our growing team in the heart of Chinatown, Ottawa. In this pivotal role, you will be instrumental in shaping our data landscape, designing, developing, and maintaining the critical infrastructure that empowers our analytics, machine learning initiatives, and business intelligence efforts.
You will dive deep into various data sources, collaborating closely with data scientists, analysts, and software developers to understand intricate data requirements and translate them into seamless, high-performance data pipelines. Your work will span the entire data lifecycle, from optimizing data ingestion and transformation processes to designing scalable data warehouses and orchestrating complex ETL/ELT workflows. Your expertise will be crucial in ensuring data integrity, accessibility, and reliability across our entire ecosystem, directly supporting strategic decision-making and operational efficiency. We’re looking for someone who thrives on solving complex data challenges, possesses a strong understanding of cloud-native data platforms, and is dedicated to implementing industry best practices in data governance, security, and compliance.
At Career.zycto, you won’t just be managing data; you’ll be engineering the very foundation upon which our future innovations are built. You’ll have the exciting opportunity to evaluate and integrate new data technologies, contributing directly to our architectural roadmap and pushing the boundaries of what’s possible with data engineering. This role demands a proactive problem-solver with exceptional analytical skills, a meticulous approach to data quality, and a commitment to continuous improvement. We foster an environment where your contributions are highly valued, and professional growth is actively encouraged through challenging projects and learning opportunities. If you’re ready to make a significant impact by transforming raw data into strategic assets, fostering a data-driven culture, and working in a supportive, forward-thinking environment, we encourage you to apply. Join us and help craft the next generation of data excellence.
Key Responsibilities
- Design, develop, and maintain scalable and robust data pipelines (ETL/ELT).
- Build and optimize data warehousing solutions and data lakes.
- Ensure data quality, reliability, and security across all data systems.
- Collaborate with data scientists, analysts, and software engineers to understand data needs.
- Implement data governance policies and best practices.
- Monitor, troubleshoot, and optimize data infrastructure performance.
- Evaluate and integrate new data technologies and tools.
- Develop and maintain comprehensive documentation for data architectures and processes.
Required Skills
- Proficiency in SQL and Python.
- Strong experience with cloud data platforms (e.g., AWS, Azure, GCP).
- Expertise in data warehousing concepts and technologies (e.g., Snowflake, Redshift, BigQuery).
- Experience with ETL/ELT tools and frameworks (e.g., Apache Airflow, DataFactory, Glue).
- Familiarity with big data technologies (e.g., Apache Spark, Hadoop).
- Solid understanding of data modeling, schema design, and data governance.
- Excellent problem-solving and analytical skills.
Preferred Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Cloud certification (e.g., AWS Certified Data Analytics, Azure Data Engineer Associate).
- Experience with streaming data technologies (e.g., Kafka, Kinesis).
- Familiarity with DataOps principles and MLOps concepts.
- Experience with version control systems (e.g., Git).
- Knowledge of containerization technologies (e.g., Docker, Kubernetes).
Perks & Benefits
- Competitive salary and comprehensive benefits package (health, dental, vision).
- Generous paid time off and holidays.
- Opportunities for professional development and continuous learning.
- Vibrant, inclusive, and collaborative work environment.
- Modern office space in a dynamic Chinatown location.
- Flexible work arrangements (where applicable).
- Employee assistance program.
How to Apply
Ready to engineer the future of data with us? We encourage all qualified candidates to click on the application link below to submit their resume and cover letter. Please highlight your relevant experience and why you are excited to join Career.zycto.
