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ETL Lead Developer / Toronto, ON (Onsite) - FTE

  • Toronto, ON, Canada

Part-time

This opening has closed.

The original listing is kept below for reference.

Job details

Job type
Part-time
Closing date
Experience
ETL & Data Warehousing – 10+ years Strong hands-on experience designing, developing, and supporting enterprise ETL and data warehouse solutions.
Posting language
English
Posted

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Original job description

Archived listing. The details below describe a past opening.

Role: ETL Lead Developer

Location: Toronto, ON

Work Arrangement: Onsite

Role Overview

We are seeking an experienced ETL Lead Developer with strong expertise in data warehousing, ETL development, and enterprise database technologies. The ideal candidate will have 10+ years of experience in the banking and financial services domain, with hands-on experience designing, developing, and supporting complex data warehouse and ETL solutions.

The candidate will lead a team of developers, translate business requirements into technical solutions, and take ownership of end-to-end data warehouse and ETL implementations.

Key Responsibilities

  • Lead the design, development, enhancement, and support of enterprise data warehouse and ETL solutions.
  • Develop, maintain, and optimize SSIS packages and ETL workflows for large-scale data integration.
  • Analyze business and technical requirements and translate them into scalable data solutions.
  • Manage and support end-to-end data warehouse systems, including data extraction, transformation, loading, validation, and reconciliation.
  • Provide technical leadership, code reviews, troubleshooting, and mentoring to ETL/data developers.
  • Work closely with business analysts, architects, database teams, and application teams to deliver data solutions.
  • Develop and optimize complex SQL queries, stored procedures, and database processes.
  • Work with multiple database and data warehouse platforms, including MS SQL Server, Sybase, IBM Netezza, and AWS Redshift.
  • Ensure data quality, accuracy, performance, security, and reliability across ETL pipelines.
  • Participate in solution design, technical documentation, estimation, and production support activities.
  • Identify opportunities to improve ETL performance, automation, scalability, and operational efficiency.

5 Mandatory / MUST-HAVE Skills & Experience

  1. ETL & Data Warehousing – 10+ years Strong hands-on experience designing, developing, and supporting enterprise ETL and data warehouse solutions.
  2. Microsoft SSIS / SSRS Extensive development experience with MS SSIS, including complex ETL packages, data integration, transformations, scheduling, error handling, and troubleshooting; SSRS experience is an advantage.
  3. Database & SQL Expertise Strong hands-on experience with MS SQL Server and/or Sybase, including advanced SQL, stored procedures, performance tuning, data validation, and troubleshooting.
  4. Banking & Financial Services Domain – 10+ years Strong experience working in the banking/financial services industry, with an understanding of enterprise banking data, financial products, data flows, and regulatory/data-quality considerations.
  5. Technical Leadership & End-to-End Ownership Proven ability to lead and mentor ETL developers, manage technical deliverables, understand business requirements, and take ownership of complete data warehouse/ETL solutions from design through implementation and production support.

Additional Core Technologies

  • IBM Netezza
  • AWS Redshift
  • AWS Glue
  • ETL batch processing and data integration
  • Data warehouse architecture and development
  • SQL-based data transformation and reconciliation

5 Nice-to-Have Skills & Experience

  1. AWS Cloud & Big Data Technologies Hands-on experience with AWS services such as Redshift, EMR, Spark, Glue, and cloud-based data processing.
  2. Lending Systems & Domain Knowledge Functional and technical understanding of lending systems, lending data flows, and related banking processes.
  3. Master Data Management (MDM) Experience with MDM solutions, particularly customer master data and customer demographics processes.
  4. Canadian Core Banking / Deposit Systems Knowledge of retail and commercial deposit systems, core banking processes, and Canadian banking domain practices.
  5. Advanced AWS ETL & Data Integration Strong solution design and hands-on experience implementing cloud ETL processes, including Kafka message processing, batch data ingestion, interfaces, and business-layer data processing.

Education

  • Bachelor's degree or equivalent experience in Computer Science, Information Technology, Engineering, or a related field.
More about this job

Responsibilities

Lead the design, development, optimization, and production support of enterprise data warehouse and ETL solutions, including SSIS workflows and complex SQL processes. Provide technical leadership and mentoring while coordinating with business and technology teams to deliver reliable, secure, and high-quality data solutions.

Requirements

Requires 10+ years of ETL and data warehousing experience and 10+ years in banking or financial services, with strong hands-on expertise in SSIS and SQL Server and/or Sybase. Candidates must be able to lead developers and own end-to-end ETL and data warehouse implementations; a bachelor's degree or equivalent experience is specified.

Skills

  • ETL Development
  • Data Warehousing
  • Microsoft SSIS
  • Microsoft SSRS
  • SQL Server
  • Sybase
  • Advanced SQL
  • Stored Procedures
  • IBM Netezza
  • AWS Redshift
  • AWS Glue
  • ETL Performance Tuning
  • Banking and Financial Services
  • Technical Leadership
  • Data Quality
  • Master Data Management

Visa sponsorship

Not detected in the job text

Categories

  • Technology
  • Data & Analytics
  • Software
  • Management & Leadership
  • Finance & Accounting

Keywords

  • ETL
  • Data Warehousing
  • Microsoft SSIS
  • Microsoft SSRS
  • SQL Server
  • Sybase
  • IBM Netezza
  • AWS Redshift
  • AWS Glue
  • AWS EMR
  • Apache Spark
  • Kafka
  • ETL Batch Processing
  • Data Integration
  • Data Warehouse Architecture
  • SQL
  • Stored Procedures
  • Performance Tuning
  • Data Validation
  • Data Reconciliation
  • Banking
  • Financial Services
  • Lending Systems
  • Master Data Management
  • Customer Master Data
  • Core Banking
  • Deposit Systems
  • Data Quality
  • Production Support
  • Technical Leadership

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