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Skills

Platform Engineer
AWS
Netezza
Python
SQL
Shell
Hadoop
bigdata

Summary

Scalable Systems is a USA based Big Data, Analytics and Digital Transformation company focused on vertical specific innovative solutions. By providing next generation technology solutions and services, we help organizations to identify risks & opportunities, achieve operational excellence and to gain an innovative edge.

Job Title: Platform Engineer

Duration: Long Term Contract

Location: Toronto, ON

Work Model: Hybrid (2 days/week onsite)

Job Description:

We are seeking a highly skilled Senior Platform Engineer with extensive experience in Big Data technologies, AWS Cloud, and data platform engineering. The ideal candidate will have strong expertise in designing, developing, and supporting scalable data pipelines and distributed systems, along with hands-on experience in Big Data ecosystem tools, AWS services, and real-time data processing.
This role involves working on data platform modernization, cloud migrations, Data Warehousing and ETL in a fast-paced enterprise environment.

Key Responsibilities

Design, develop, maintain and support scalable data pipelines using Big Data and AWS technologies.
Lead and support data platform migration initiatives (On-Prem to AWS Cloud).
Develop and manage ETL/ELT processes using tools like SSIS, Pentaho, or similar.
Implement and manage AWS services such as EMR, S3, EC2, Redshift, Glue, and Airflow.
Build and optimize data workflows and orchestration pipelines using Airflow.
Work with real-time streaming technologies such as Kafka and Spark Streaming.
Perform data ingestion, transformation, and validation from multiple data sources.
Optimize SQL queries for performance and scalability.
Monitor system performance, troubleshoot issues, and ensure system reliability.
Collaborate with cross-functional teams including developers, architects, and infrastructure teams.

Required Technical Skills:

Cloud Technologies

Strong experience in AWS Cloud services:

EMR, EC2, S3, VPC, RDS, Redshift
AWS Glue, IAM, CloudWatch, CloudFormation
Airflow (or AWS Managed Workflows)

Databases

Experience working with:

Netezza Experience is Mandatory ***********
SQL-based systems: SQL Server and PostgreSQL
Data warehouses: Teradata, Redshift, Netezza

ETL Tools

Hands-on experience with:

SSIS

Programming & Scripting

Strong proficiency in:

SQL
Shell scripting

Good to have:

Python

Operating Systems

Strong experience in Unix/Linux environments

Key Qualifications:

10+ years of experience in Data Engineering / Big Data / Platform Engineering and Netezza experience is Mandatory
Hands-on experience in AWS and Hadoop ecosystems
Experience in data migration projects (e.g., Hadoop to AWS, DB migrations)
Strong understanding of data warehousing concepts and ETL design patterns
Expertise in query optimization and performance tuning
Experience supporting production data platforms
Bachelor’s degree in Computer Science, Engineering, or related field

Preferred Qualifications:

Experience in Banking / Financial Services domain
Experience with data lake architecture and governance
Knowledge of DevOps tools and CI/CD pipelines
Experience in platform engineering and framework development

Soft Skills:

Excellent problem-solving and analytical skills
Strong communication and collaboration abilities
Ability to work independently and lead initiatives
Experience mentoring team members

Nice to Have:

Experience with tools like Ansible, Git, JIRA
Exposure to NoSQL databases (HBase, MongoDB)
Experience in data masking and security frameworks

Experience: 10+ Years

Scalable Systems is an Equal Opportunity-Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10121745
Position Id: 28614-13094-1785268469
Posted 2 days ago

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