Data Engineer

Key Responsibilities
• Design, develop, and maintain ETL/ELT pipelines using Informatica Cloud (IICS).
• Build, optimize, and manage data models and data warehousing solutions in Snowflake.
• Write efficient and complex SQL queries for data transformation, analysis, and performance tuning.
• Collaborate with data architects, analysts, and business stakeholders to understand data requirements.
• Ensure data quality, governance, and reliability across all data pipelines.
• Develop reusable data frameworks, automation processes, and workflow orchestration.
• Monitor data pipelines, troubleshoot issues, and implement performance improvements.
• Work in Agile teams supporting sprint planning, backlog grooming, and release cycles.
Required Skills
• 4-8+ years of hands-on experience as a Data Engineer.
• Strong expertise in IICS (mappings, tasks, parameterization, scheduling).
• Proficient in Snowflake (warehouses, stages, SnowSQL, task/stream pipelines).
• Advanced SQL skills with experience in writing complex queries and tuning performance.
• Solid understanding of ETL/ELT design, data warehousing concepts, and cloud-based data architecture.
• Experience working with cloud environments (AWS, Azure, or GCP).
• Strong analytical, problem-solving, and communication skills.
Preferred Skills
• Experience with Python for automation or data processing.
• Familiarity with Terraform, DBT, Airflow, or other orchestration/automation tools.
• Knowledge of API integrations and real-time/streaming solutions.
• Exposure to data governance, data quality frameworks, and metadata management.