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Added 1 hour ago
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xCroTek AI

Snowflake Data Engineer

Open Hall, NL, Canada

Full-time

Apply About employer

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Job details

Job type: Full-time
Apply by: Oct 21, 2026
Experience: 1–5 years of experience as a Data Engineer, with at least 2+ years working on Snowflake.
Posting language: English
Posted: Jul 20, 2026

Original job description

Job Description

About xCroTek

xCroTek is a product- and service-based AI software company that builds innovative, AI-powered solutions to drive intelligent automation and digital transformation. We specialize in creating scalable, impactful technologies for modern businesses.

Job Overview

We are seeking a talented Snowflake Data Engineer with 1–5 years of experience in building and managing modern data pipelines. The ideal candidate should have strong expertise in Snowpipe, Azure Data Factory (ADF), and hands-on experience with batch, near real-time, real-time, and CDC (Change Data Capture) data processing. The role involves designing scalable, cost-efficient, and high-performing data solutions to support advanced analytics and reporting.

Key Responsibilities

Design, develop, and maintain data pipelines on Snowflake using Azure Data Factory for orchestration.
Implement Snowpipe-based continuous data ingestion for near real-time use cases.
Build solutions supporting batch, near real-time, and real-time data processing.
Implement and optimize CDC (Change Data Capture) pipelines to ensure timely and accurate data updates.
Optimize Snowflake performance (warehouses, clustering, micro-partitions, caching).
Develop scalable data models (star, snowflake, normalized/denormalized) aligned with analytics needs.
Ensure data quality, lineage, and governance across pipelines.
Integrate data from diverse sources including APIs, databases, cloud storage, and streaming platforms.
Automate workflows and data orchestration using ADF pipelines, triggers, and event-based executions.
Collaborate with cross-functional teams (BI, Data Science, Product) to deliver reliable datasets.
Monitor, troubleshoot, and optimize pipeline performance while ensuring cost efficiency.

Required Skills & Qualifications

Bachelor’s degree in Computer Science, Information Systems, or related field.
1–5 years of experience as a Data Engineer, with at least 2+ years working on Snowflake.
Strong hands-on expertise with Snowpipe for near real-time ingestion.
Proven experience with Azure Data Factory (ADF) (pipelines, triggers, linked services).
Experience in batch, near real-time, and real-time data processing.
Hands-on experience implementing CDC solutions (using tools like Debezium, Kafka, ADF, or other connectors).
Strong SQL skills for query tuning, optimization, and transformation logic.
Proficiency in Python or other scripting languages for data engineering and automation.
Knowledge of cloud storage services (Azure Blob, ADLS, or AWS S3).
Familiarity with RBAC, security, and compliance best practices in Snowflake.
Excellent problem-solving, analytical, and communication skills.

How To Apply

Interested candidates should submit their resume and a brief cover letter explaining their interest in the role to hr@xcrotek.com. Please include “Snowflake Data Engineer” in the subject line.

Apply with a one-page cover letter and CV to hr@xcrotek.com

#Snowflake

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More about this job

Responsibilities

Design, build, and maintain scalable Snowflake data pipelines orchestrated with Azure Data Factory, supporting batch, near real-time, real-time, and CDC processing. Optimize performance and cost, ensure data quality and governance, integrate diverse data sources, and collaborate with BI, Data Science, and Product teams.

Requirements

Requires 1–5 years of data engineering experience, including at least 2 years working with Snowflake, plus hands-on expertise in Snowpipe, Azure Data Factory, and CDC solutions. Candidates should have strong SQL skills, Python or other scripting experience, cloud storage knowledge, and a bachelor's degree in Computer Science, Information Systems, or a related field.

Skills

Snowflake
Snowpipe
Azure Data Factory
SQL
Python
Data Pipelines
Batch Processing
Near Real-Time Processing
Real-Time Processing
Change Data Capture
Data Modeling
Data Quality
Data Governance
Pipeline Orchestration
Performance Optimization
Role-Based Access Control

Visa sponsorship

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Keywords

Snowflake
Snowpipe
Azure Data Factory
ADF Pipelines
ADF Triggers
Linked Services
SQL
Python
Data Engineering
Data Pipelines
Batch Processing
Near Real-Time Processing
Real-Time Processing
Change Data Capture
Debezium
Kafka
Data Orchestration
Azure Blob Storage
Azure Data Lake Storage
Amazon S3
Data Modeling
Star Schema
Snowflake Schema
Data Quality
Data Lineage
Data Governance
Role-Based Access Control
Query Optimization
Micro-Partitions
Cloud Storage

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