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Data Engineer Talend and Snowflake

LiveMindzTX🇺🇸United StatesPosted 8 Jul 2026

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Data Engineer Talend ^0 Snowflake

Location: Dallas, TX

Key Responsibilities:

Design and build Talend pipelines to implement Type 2 Slowly Changing Dimensions (SCD) models in Snowflake.

Analyze and assess existing on-premises data sources (DB2, Oracle, Hadoop) for migration and integration.

Develop and optimize data replication strategies using IBM Data Replicator and Qlik Replicate.

Implement one-time data migration processes for history and archives and configure pipelines for CDC-based updates.

Collaborate with data architects and business teams to define and enforce data modeling standards in Snowflake.

Perform data profiling, validation, and reconciliation to ensure data integrity and consistency during migrations.

Monitor and troubleshoot data pipelines, ensuring scalability, reliability, and performance.

Document pipeline designs, workflows, and data mappings for compliance and audit requirements.

Qualifications:

Proficiency in Talend ETL development and integration with Snowflake.

Hands-on experience with IBM Data Replicator and Qlik Replicate.

Strong knowledge of Snowflake database architecture and Type 2 SCD modeling.

Expertise in containerized DB2, DB2, Oracle, and Hadoop data sources.

Understanding of Change Data Capture (CDC) processes and real-time data replication patterns.

Experience with SQL, Python, or Shell scripting for data transformations and automation.

Familiarity with cloud platforms (AWS, Azure) and DevOps practices for pipeline automation.

Preferred Skills:

Experience in data governance frameworks and metadata management.

Working knowledge of version control tools (e.g., Git) and CI/CD pipelines.

Exposure to Kafka or other streaming platforms for data ingestion.

Strong troubleshooting and performance optimization capabilities.

Skills

Oracle
SQL
Shell
AWS
ETL
Snowflake
Azure
Git
Hadoop
Kafka
Python
Qlik

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