Data Engineer

Data Engineer will be responsible for designing, developing, and maintaining data pipelines and architectures that support the organization's analytics and reporting needs. The ideal candidate will have strong expertise in SQL Server, Snowflake, and data warehousing concepts, ensuring efficient and reliable data flow across systems.

Key Responsibilities :

Design, develop, and optimize ETL / ELT pipelines to integrate data from multiple sources into the data warehouse

Work with SQL Server and Snowflake to manage structured and semi-structured datasets. Implement and maintain data models, schemas, and performance tuning for analytics workloads

Ensure data quality, consistency, and reliability across the data lifecycle

Collaborate with data analysts, BI developers, and business stakeholders to deliver scalable data solutions

Automate data loading, transformation, and monitoring processes using modern data engineering tools. Implement best practices for data governance, security, and compliance

Troubleshoot data-related issues and optimize system performance

Required Skills & Qualifications :

• Bachelor’s degree in Computer Science, Information Systems, or a related field. 3–6 years of experience as a Data Engineer or in a similar role
• Strong proficiency in SQL Server (T-SQL, stored procedures, query optimization)
• Hands-on experience with Snowflake (data sharing, virtual warehouses, performance tuning)
• Solid understanding of data warehousing principles, star / snowflake schemas, and dimensional modeling
• Experience with ETL tools (e.g., dbt, SSIS, Informatica, or Airflow)
• Proficiency in at least one scripting language (Python, Shell, etc.)
• Knowledge of cloud platforms (AWS, Azure, or GCP) is a plus
• Strong analytical thinking and problem-solving abilities
• Excellent communication and documentation skills

Preferred Skills :