Qlik Data Engineer

Protégé Hunters; Atlanta (GA); On-site; USD 90,000 - 120,000; Full time

Job summary

A data solutions company in Atlanta, Georgia is looking for an experienced Qlik Data Engineer to design and maintain data pipelines that power Qlik Sense applications. The ideal candidate should have over 4 years of experience in data integration and strong skills in Qlik products. Responsibilities include managing data quality, developing ETL processes, and implementing integration patterns. Suitable for those with a detail-oriented mindset and strong communication capabilities.

Qualifications

• 4+ years of experience in enterprise data integration with at least 2 years hands-on with Qlik.
• Strong understanding of data lake and warehousing strategies.
• Proficiency in at least one programming language (Java, Python, or SQL scripting).
• Experience with change data capture (CDC) technologies.

Responsibilities

• Design, develop, and maintain data pipelines and infrastructure for Qlik Sense applications.
• Implement data quality monitoring using Qlik and Talend tools.
• Manage Qlik Tenant and security for data movement.
• Build data pipelines for database generation in various layers.

Skills

Qlik Sense

SQL

AWS

Azure

Python

Data Modeling

Data Governance

Tools

QlikView

Talend

Snowflake

Job description

Protege Hunters has an immediate direct hire position for aQlik Data Engineer. This position is for the intellectually curious Data Engineer that has strong analytical and troubleshooting capabilities with complex integration challenges.

Qualifications

• Must Have4+ years of experience in enterprise data integration with at least 2 years of hands-on with Qlik
• Qlik Expertise:3-7+ years of experience withQlik Sense,QlikView, or Qlik Data Integration Suite.
• Strong SQL skills and experience with relational/non-relational databases.
• Familiarity with AWS, Azure, or Snowflake.
• Data Modeling:Solid understanding of dimensional modeling, Star Schema, and data warehousing concepts.
• Automation:Experience with Python or other scripting languages for automating data tasks.
• Strong understanding of change data capture (CDC) technologies and real-time data streaming concepts
• Strong understanding of data lake and data warehouse strategies, and data modelling
• Advanced SQL skills with expertise in database replication, synchronization, and performance tuning
• Experience with enterprise ETL/ELT tools and data integration patterns
• Proficiency in at least one programming language (Java, Python, or SQL scripting).
• Qlik Data Integration certification or Talend certification (Data Integration, Data Quality, or Big Data)
• Experience with cloud platforms (AWS or Azure) and hybrid integration scenarios
• Experience with Snowflake preferred
• Understanding of data governance frameworks and regulatory compliance requirements
• Strong analytical and troubleshooting capabilities with complex integration challenges
• Excellent communication skills with ability to explain technical integration concepts to business stakeholders
• Collaborative approach with experience in cross-functional enterprise teams
• Detail-oriented mindset with commitment to data accuracy and system reliability
• Adaptability to evolving integration requirements and emerging technologies
• Experience with API management and microservices architectur

(Nice-to-Haves)

• Qlik Data Integration or Talend certifications.
• Experience with Change Data Capture (CDC) technologies.

Responsibilities

Responsible for designing, developing, and maintaining data pipelines and infrastructure that support Qlik Sense applications, focusing on transforming raw data into actionable insights.

In addition but not limited to:

• Configure and manage Qlik Data Integration components including pipeline projects, lineage, data catalog, data quality, and data marketplace
• Implement data quality rules and monitoring using Qlik and Talend tools
• Manage Qlik Tenant, security, access and manage Data Movement Gate way
• Develop and maintain ETL/ELT data pipelines leveraging Qlik Data Integration for data warehouse generation in bronze, silver, gold layers
• Build consumer facing datamarts, views, and push-down calculations to enable improved analytics by BI team and Citizen Developers
• Implement enterprise data integration patterns supporting batch, real-time, and hybrid processing requirements
• Coordinate execution of and monitor pipelines to ensure timely reload of EDW

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