Snowflake Data Engineer

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 SHARE THIS INSIGHT Copied!

Design and maintain scalable data pipelines on Snowflake using Azure Data Factory for orchestration. Implement continuous data ingestion via Snowpipe and optimize performance for batch and real-time processing.

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.

• SQLSouhaitée
• PythonSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Snowflake
• Snowpipe
• Azure Data Factory
• CDC (Change Data Capture)
• SQL
• Python
• Data Pipeline Design
• Data Modeling
• Azure Blob Storage
• ADLS
• AWS S3
• RBAC
• Batch Processing
• Real-time Processing
• Query Optimization

• Data & Analytics
• Technology
• Software
• Engineering
• Consulting

Formation minimale

Baccalauréat

Expérience minimale

2+ ans

Postuler avant le

27 août 2026

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Niveau d’expérience

Entry level