Front End Engineer

Key Responsibilities

• Design, develop, and maintain scalable data pipelines and data integration solutions.
• Implement and manage data quality frameworks, validation checks, and reconciliation processes.
• Ensure accurate data lineage tracking across the data ecosystem.
• Develop and optimize complex SQL queries for large-scale data processing.
• Build and maintain ETL/ELT workflows using Python and Airflow.
• Work with Snowflake for data warehousing, modeling, and performance optimization (Intermediate level).
• Collaborate with business and technical stakeholders to understand data requirements and ensure data reliability.
• Implement monitoring, troubleshooting, and performance tuning for data pipelines.
• Work within cloud-based environments and support data platform modernization initiatives.

Required Skills

• 6+ years of experience in Data Engineering.
• Strong expertise in SQL and Python.
• Hands-on experience with Data Quality, Data Validation, Data Reconciliation, and Data Lineage.
• Experience building and orchestrating workflows using Apache Airflow.
• Intermediate-level experience with Snowflake.
• Experience with at least one cloud platform (Azure, AWS, or GCP).
• Strong understanding of ETL/ELT, data warehousing, and data governance concepts.
• Excellent problem-solving and stakeholder management skills.

Preferred Qualifications

• Experience working in enterprise-scale data platforms.
• Exposure to data governance and metadata management tools.
• Knowledge of CI/CD and DataOps practices.