Job Title:

Big Data Developer – Spark, AWS, Airflow & Snowflake

Company:

Cogency Inc.

Work Model:

Hybrid – 4 Days Onsite

Job Type:

Full-Time

Job Summary Cogency Inc. is seeking a skilled

Big Data Developer / Data Engineer

with strong expertise in

Spark, Snowflake, AWS, Airflow, Big Data technologies, and ETL . The successful candidate will design, develop, and optimize scalable data pipelines and ETL processes while ensuring data quality, security, reliability, and performance.

The role involves working closely with cross-functional teams in an Agile environment to deliver robust data solutions supporting analytics, reporting, and business intelligence initiatives.

Key Responsibilities

Design, develop, and maintain scalable

data ingestion pipelines and ETL workflows .

Build and optimize data pipelines, transformation frameworks, and processing workflows.

Develop and optimize

Apache Spark

applications for large-scale data processing.

Work with

Hadoop, Spark, and Hive

within Big Data environments.

Design and optimize

Snowflake

data solutions, data models, and SQL workloads.

Develop complex SQL queries, stored procedures, transformations, and data models.

Integrate Snowflake with enterprise data sources and BI/reporting platforms.

Develop ETL workflows using

Informatica, Talend, Apache Airflow , or similar technologies.

Build and manage workflow orchestration using

Apache Airflow .

Develop data solutions on

AWS , leveraging services such as S3, Glue, and Lambda.

Monitor, troubleshoot, and resolve data pipeline and platform performance issues.

Implement data quality, integrity, security, and governance controls.

Develop APIs and data integrations using

Scala or Java .

Implement CI/CD, DevSecOps, and Infrastructure-as-Code practices.

Maintain technical documentation for data pipelines, transformations, and data models.

Collaborate with Data Architects, Developers,



DevOps teams, Business Analysts, and other stakeholders.

Participate in Agile ceremonies, code reviews, testing, deployment, and production support.

Leverage

GenAI and AI-assisted development tools

to improve developer productivity and code quality.

Required Skills & Experience

5+ years of experience

in Data Engineering, Big Data, or ETL development.

Strong hands-on experience with:

Hadoop

Hive

Snowflake

Strong SQL and data modeling skills.

Programming experience in

Scala or Java .

Experience developing APIs and enterprise data integrations.

Experience with ETL technologies such as

Informatica, Talend, or Apache Airflow .

Strong understanding of data ingestion, transformation, processing, and pipeline optimization.

Experience working with cloud platforms, preferably

AWS .

Understanding of

CI/CD, DevSecOps, and Infrastructure-as-Code

practices.

Experience working in Agile delivery environments.

Strong troubleshooting, analytical, and problem-solving skills.

Excellent communication and collaboration skills.

Preferred / Nice-to-Have

Hands-on experience with

AWS Glue, S3, Lambda , and other AWS data services.

Solid experience with

Apache Airflow

or similar orchestration platforms.

Experience with

GitHub Actions, Git, and automated testing .

Knowledge of

Python

or other scripting languages.

Experience with Shell/Bash scripting.

Exposure to

Docker, Kubernetes, or OpenShift .

Experience with Infrastructure-as-Code tools such as Terraform.

Experience with GenAI tools for code generation, code review, and developer productivity.

Education

Bachelor's or Master's degree in

Computer Science, Data Engineering, Information Technology, or a related discipline .

Snowflake

AWS Cloud

ETL/ELT Development

SQL & Data Modeling

Scala / Java

API Integration

DevSecOps & CI/CD

Data Quality & Governance

Agile Delivery

Problem Solving & Troubleshooting

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📌 Big Data Developer (Winnipeg)
🏢 Cogency
📍 Winnipeg