Data Engineer

Description

We are seeking a Data Engineer to design, build, and maintain scalable data pipelines and infrastructure that support analytics, reporting, and data-driven decision making. This role will also play a key part in establishing and enforcing data governance standards to ensure data is accurate, secure, and trusted across the organization.

Key Responsibilities

• Design, develop, and maintain robust ETL/ELT pipelines to ingest, transform, and load data from various sources 
• Build and optimize data models to support  analytics and reporting use cases 
• Ensure data quality, integrity, and reliability through monitoring, validation, and testing 
• Implement and support data governance practices, including data lineage, cataloging, and metadata management 
• Enforce data standards, naming conventions, and access controls across datasets 
• Partner with business stakeholders to define data ownership, definitions, and quality expectations 
• Manage and optimize data storage solutions (data warehouses, lakes, lakehouses) 
• Implement performance tuning and cost optimization strategies 
• Maintain documentation for data architecture, pipelines, and governance processes 
• Support deployment and orchestration of data workflows using modern tools 
• Troubleshoot and resolve data issues in a timely manner 

Requirements

• Bachelor’s degree in Computer Science, Information Systems, or related field (or equivalent experience) 
• 2–5+ years of experience in data engineering or  related roles 
• Strong SQL skills and experience working with relational databases 
• Experience building data pipelines using tools such as Python, Spark, or similar 
• Familiarity with cloud platforms (Azure, AWS, or GCP) 
• Experience with data warehousing technologies (e.g., Snowflake, BigQuery, Redshift, or Fabric) 
• Understanding of data modeling concepts (star schema, normalization, etc.) 
• Experience supporting or working within data governance frameworks (data quality, lineage, access control, or catalog tools) 

Preferred Qualifications:

• Experience with orchestration tools (Airflow, Azure Data Factory, etc.) 
• Knowledge of real-time/streaming data processing 
• Familiarity with DevOps practices (CI/CD, version control) 
• Experience working in a lakehouse architecture (e.g., Delta Lake, Microsoft Fabric) 
• Experience with data governance tools (e.g., Microsoft Purview, Collibra, Alation) 
• Strong understanding of data security and compliance best practices 
• Strong problem-solving and communication skills