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Added 2 months ago
Snowflake Data Engineer
xCroTek AI
Open Hall, NL
Full-time
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…
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xCroTek AI

Snowflake Data Engineer

Open Hall, NL, Canada

Job type: Full-time
Apply by: Sep 23, 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

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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 [email protected]. Please include “Snowflake Data Engineer” in the subject line.

Apply with a one-page cover letter and CV to [email protected]

#Snowflake

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More about this job

Responsibilities

Design, develop, and maintain scalable data pipelines on Snowflake using Azure Data Factory for orchestration. Implement continuous data ingestion via Snowpipe and optimize Snowflake performance and data models for advanced analytics.

Requirements

Requires a Bachelor's degree and 1-5 years of data engineering experience, with at least 2 years specifically in Snowflake. Proficiency in SQL, Python, and implementing CDC solutions is essential.

Skills

Snowflake
Snowpipe
Azure Data Factory
CDC
SQL
Python
Data Modeling
Data Pipeline Design
Azure Blob Storage
ADLS
AWS S3
RBAC
Data Governance
ETL
Query Tuning
Data Orchestration

Visa sponsorship

Not detected in the job text

Keywords

Snowflake
Snowpipe
Azure Data Factory
ADF
CDC
Change Data Capture
SQL
Python
Azure Blob
ADLS
AWS S3
Data Pipelines
Data Modeling
Star Schema
Snowflake Schema
RBAC
Data Governance
Real-time Processing
Batch Processing
Debezium
Kafka
Cloud Storage
ETL
Data Engineering
AI Software
Digital Transformation
Intelligent Automation
Query Optimization
Micro-partitions
Clustering

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