Data Engineer

Data EngineerKey ResponsibilitiesDesign, 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 data pipelines, troubleshoot issues, and implement performance improvements.Work in Agile teams supporting sprint planning, backlog grooming, and release cycles.Required Skills4–8+ 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 SkillsExperience 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.