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Data Engineer
Data EngineerTheAppLabb • Toronto, ON, Canada
Data Engineer

Data Engineer

TheAppLabb • Toronto, ON, Canada
30+ days ago
Job type
  • Full-time
Job description

Job Description

Job Description
Salary:

About TheAILabb:

TheAppLabb is a leading innovation company specializing in AI-powered digital solutions, mobile app development, and emerging technologies. We leverage data-driven insights to create transformative experiences for businesses worldwide. If youre passionate about building robust data infrastructure to power cutting-edge applications, this is the role for you!

Role Overview:

As a Data Engineer at TheAppLabb, you will be responsible for designing, developing, and optimizing data pipelines, ensuring seamless data integration, and supporting AI-driven applications. You will collaborate with data scientists, engineers, and business stakeholders to enable data-driven decision-making.

Key Responsibilities:

Build & Maintain Data Pipelines: Design and develop scalable ETL/ELT workflows for structured and unstructured data.

Data Architecture & Storage: Optimize data warehouses, databases, and cloud storage solutions.

Integration & Processing: Work with APIs, streaming data, and batch processing to consolidate data from multiple sources.

Performance & Scalability: Monitor, troubleshoot, and improve data systems for speed and reliability.

Collaboration & Strategy: Work closely with AI/ML teams to support data modeling and analytics initiatives.

Data Governance & Security: Ensure data quality, security, and compliance with industry best practices.


Required Skills & Qualifications:

Technical Proficiency:

Strong experience with Python, SQL, and Scala for data processing.

Hands-on experience with ETL frameworks, data pipelines, and workflow orchestration tools (e.g., Apache Airflow, DBT).

Expertise in Big Data Technologies (e.g., Spark, Hadoop).

Knowledge of Cloud Platforms (AWS, GCP, or Azure) and services like S3, Redshift, BigQuery,or Snowflake.

Experience with relational and NoSQL databases (PostgreSQL, MongoDB, etc.).

Familiarity with streaming technologies (Kafka, Kinesis, or Pub/Sub) is a plus.

Soft Skills:

Strong problem-solving and analytical thinking.

Ability to work in a fast-paced, agile environment.

Excellent communication and collaboration skills.

Nice-to-Have:

Exposure to AI/ML workflows and data science frameworks.

Experience with CI/CD for data engineering.

Knowledge of data privacy regulations (GDPR, CCPA).


Why Join Us?

Work on large-scalecloud-based data platformswith cutting-edge technologies.
Collaborate with a dynamic, innovative, and data-driven team.
Competitive salary
Opportunities for career growth and continuous learning.


Why youll love TheAILabb?

We are proud to be certified as a Great Place to Work, Canada. We're a motivated team with laser-focused mission to create exceptional experiences. At TheAILabb, our culture is geared towards creativity, collaboration, and flexibility.

Acknowledge and recognize employee efforts by having awards (Employee of the month, Employee with Most Growth, Leadership Award etc.)

We encourage a healthy lifestyle by incorporating fitness challenge incentives in our Company

TheAILabbs strong values and principles guide our employees to work with honesty, integrity, teamwork, and empathy.


At TheAILabb, we believe diversity and inclusion is a strength we cultivate. We are proud to be an equal opportunity employer, and we do not discriminate based on race, gender, ethnicity, citizenship, national origin, religion, sexual orientation, age, marital status, disability, veteran status or any other legally protected status.


Our work environment welcomes equity, inclusiveness, and diversity by providing accommodations throughout the recruitment process and during your employment here. If you require accommodation, please let us know and we will work with you to meet your needs. Please contact us at .


So, if you are looking for your next challenge, then this is your chance to join our team of exceptionally talented, creative, and innovative professionals working towards a unified goal.

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Data Engineer • Toronto, ON, Canada

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