Software Engineer

Role : Mid-Level Snowflake DeveloperExperience : 4 - 6 yrsAbout the Role : We are looking for a skilled Mid-Level Snowflake Developer to join our dynamic data engineering team. The ideal candidate will have hands-on experience with Snowflake, data warehousing concepts, and ETL / ELT processes to design, build, and maintain scalable data pipelines and solutions.Key Responsibilities : Develop, optimize, and maintain Snowflake data warehouse solutions to support business intelligence and analytics.Design and implement data models, schemas, and database objects (tables, views, stages, file formats).Build and manage ETL / ELT pipelines using Snowflake-native tools or third-party tools (e.g., dbt, Apache Airflow, Informatica).Write efficient SQL queries, stored procedures, and scripts to transform and load data.Work closely with data analysts, data scientists, and business stakeholders to understand requirements and deliver data solutions.Monitor and troubleshoot Snowflake performance issues, optimize queries, and manage cost control strategies.Implement best practices for data security, governance, and compliance within Snowflake.Collaborate with DevOps teams to automate deployments and manage CI / CD pipelines.Document data warehouse architecture, processes, and workflows.Required Skills & Qualifications : Bachelor’s degree in Computer Science, Information Technology, or a related field.4-6 years of experience in data warehousing and ETL development.Strong hands-on experience with Snowflake data platform (warehousing, SnowSQL, Snowpipe, Streams & Tasks).Proficiency in SQL and scripting languages (Python, Shell, or similar).Experience with ETL / ELT tools and data pipeline orchestration.Understanding of cloud platforms (AWS, Azure, or GCP) and their integration with Snowflake.Knowledge of data modeling techniques (star schema, snowflake schema).Familiarity with BI tools like Tableau, Power BI, or Looker is a plus.Strong analytical and problem-solving skills.Excellent communication skills and ability to work in a collaborative environment.Preferred Skills : Experience with version control systems (Git).Exposure to DevOps practices and CI / CD pipelines.Familiarity with data governance and compliance standards (GDPR, HIPAA).Experience with data lake technologies and integration (e.g., AWS S3, Azure Data Lake).