Snowflake Data Engineer

xCroTek AI; Open Hall; On-site; CAD 70,000 - 110,000; Full time

Job summary

xCroTek AI is seeking a Snowflake Data Engineer to design and optimize scalable data pipelines. You will implement Snowpipe-based ingestion, orchestrate with Azure Data Factory, and build real-time to batch data flows supporting analytics.

The role emphasizes data quality, governance, and collaboration with BI and Data Science teams. If you have 1–5 years of hands-on Snowflake experience, strong SQL, Python scripting, and a passion for scalable data models, join us to drive intelligent

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.

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.

Skills

SQL

Python

Analytical thinking

Communication

Problem-solving

Data modeling

Education

Bachelor’s degree in Computer Science or Information Systems

Tools

Snowflake

Snowpipe

Azure Data Factory

Debezium

Kafka

Azure Blob Storage

Azure Data Lake Storage

AWS S3

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.