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ETL Data Lead (Hybrid)

  • Halifax, NS, Canada

The base salary for this position ranges between $75000– $140000 per year. · Full-time

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Job details

Pay
The base salary for this position ranges between $75000– $140000 per year.
Job type
Full-time
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Posting language
English
Posted

Original job description

Job Summary

We are seeking an experienced ETL/ELT Engineer to design, develop, and maintain robust data pipelines using Informatica IICS and Snowflake. The ideal candidate will have strong SQL skills, experience with source-to-target mappings, and the ability to validate and troubleshoot data across cloud and on‑premises environments.

  • Proven experience with Informatica IICS (ETL/ELT) and Snowflake data platform.
  • Strong SQL skills for complex queries, joins, and data transformations.
  • Experience with source-to-target mapping and data validation techniques.
  • Ability to work in an Agile/Scrum environment.
  • Knowledge of data governance, quality, and security best practices.
  • Experience troubleshooting and optimizing ETL processes.

Work model

We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.

What you need to have to be considered

  • List the most important qualifications in descending order
  • Top 5 most important contributions in descending order
    • Only go beyond 5 if absolutely necessary
    • Be concise but informative
    • Related duties should be combined
These will help you stand out

  • List the most important nice-to-haves in descending order
  • Top 5 most important contributions in descending order
    • Only go beyond 5 if absolutely necessary
    • Be concise but informative
Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.

Total Compensation

We regularly assess market data to ensure we offer a competitive compensation package for our associates. The base salary for this position ranges between $75000– $140000 per year. Where the successful candidate may fall within the range depends on relevant education, work and/or management experience and other business-related and job-necessary qualifications. This position is also eligible for Cognizant’s discretionary annual performance-based bonus, as well as benefits that support your physical, mental and financial wellbeing
More about this job

Responsibilities

Design, develop, and maintain robust ETL/ELT data pipelines using Informatica IICS and Snowflake. Validate, troubleshoot, and optimize data and ETL processes across cloud and on-premises environments.

Requirements

Candidates should have proven experience with Informatica IICS and the Snowflake data platform, along with strong SQL skills for complex queries, joins, and transformations. Experience with source-to-target mapping, data validation, Agile/Scrum, and data governance, quality, and security practices is also sought.

Skills

  • Informatica IICS
  • Snowflake
  • SQL
  • ETL/ELT
  • Data Pipeline Development
  • Source-to-Target Mapping
  • Data Validation
  • Data Troubleshooting
  • ETL Optimization
  • Data Governance
  • Data Quality
  • Data Security
  • Agile
  • Scrum
  • Cloud Data Environments
  • On-Premises Data Environments

Benefits

  • Wellbeing Programs
  • Performance-Based Bonus

Visa sponsorship

Not detected in the job text

Categories

  • Data & Analytics
  • Technology
  • Software

Keywords

  • Informatica IICS
  • Snowflake
  • ETL
  • ELT
  • SQL
  • Data Pipelines
  • Source-to-Target Mapping
  • Data Validation
  • Data Transformations
  • Complex Queries
  • Joins
  • Cloud Environments
  • On-Premises Environments
  • Agile
  • Scrum
  • Data Governance
  • Data Quality
  • Data Security
  • ETL Troubleshooting
  • ETL Optimization

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