Data Engineer

We are seeking a highly skilled Data Engineer to join the HR Analytics Engineering team. This is a hands-on engineering role focused on building scalable, production-grade data solutions across the full data lifecycle — from ingestion and transformation to semantic modeling and visualization.

The ideal candidate will have strong expertise in Databricks, Snowflake, Python, SQL, Microsoft Fabric, and Power BI , along with experience building enterprise-grade ETL/ELT pipelines in modern cloud environments.

This role offers the opportunity to work closely with senior engineering leadership and gradually grow into solution design and stakeholder-facing responsibilities.

Key Responsibilities

• Build and maintain end-to-end data pipelines across ingestion, transformation, semantic modeling, and reporting layers
• Develop scalable data solutions using Databricks (Delta Lake, Unity Catalog) and Snowflake
• Implement data ingestion frameworks supporting batch, CDC, API, and streaming patterns
• Create and optimize data models using medallion architecture (Bronze/Silver/Gold)
• Build semantic layer assets in Microsoft Fabric / OneLake
• Develop dashboards and reports using Power BI
• Implement robust testing frameworks including unit testing, data quality checks, and reconciliation logic
• Maintain CI/CD pipelines and support DevOps best practices
• Monitor and support production data products, including KTLO activities and incident resolution
• Collaborate with senior engineers, architects, and business stakeholders
• Prepare documentation including runbooks, lineage, and source-to-target mappings

Required Skills & Qualifications

• 4+ years of hands-on Data Engineering experience
• Strong expertise in:
• Python
• SQL
• PySpark / Spark SQL
• Databricks
• Snowflake
• Microsoft Fabric
• Power BI
• Experience with ETL/ELT pipeline development
• Strong understanding of data modeling and lakehouse architecture
• Experience with CI/CD, Git, and automated testing
• Knowledge of batch, CDC, API, and streaming ingestion patterns
• Excellent communication and problem-solving skills

Preferred Qualifications

• Experience with:
• Iceberg Tables
• Kafka / Spark Structured Streaming
• Azure Event Hub
• Delta Live Tables
• AI/ML pipelines
• Exposure to HR Analytics or HR systems like:
• Workday
• ServiceNow HR
• Familiarity with Azure-native data services
• Understanding of GDPR, CCPA, and employee data privacy standards

ABOUT BRICKRED SYSTEMS

BrickRed Systems is a global leader in next-generation technology, consulting, and business process services. The company helps organizations accelerate digital transformation through innovative, scalable, and high-impact solutions across industries worldwide.

With ISO 27001 and ISO 9001 certifications and over a decade of experience, BrickRed Systems leverages cloud computing, analytics, hyper-automation, robotics, cognitive computing, and emerging technologies to deliver measurable business outcomes.

The organization fosters a strong continuous learning culture, enabling clients and talent to build future-ready digital capabilities and maintain a competitive edge in a rapidly evolving global marketplace.