Senior Data Engineer- Snowflake

Role Overview Key Responsibilities

• Design, build, and maintain scalable data pipelines and ETL/ELT processes
• Develop and optimize data models and data warehouse solutions
• Work extensively with Snowflake for data storage, transformation, and performance tuning
• Collaborate with BI, analytics, and product teams to deliver clean and reliable datasets
• Ensure data quality, integrity, and governance across systems
• Optimize query performance and cost efficiency in Snowflake
• Integrate data from multiple sources (APIs, databases, third-party systems)
• Implement data security and access controls

Required Skills Qualifications

• 7+ years of experience in Data Engineering or related roles
• Strong expertise in Snowflake (data modeling, performance tuning, optimization)
• Advanced SQL skills and experience with large-scale data processing
• Hands-on experience with ETL/ELT tools (e.g., Airflow, Informatica, dbt, or similar)
• Experience with cloud platforms such as AWS / Azure / GCP
• Strong understanding of data warehousing concepts (star schema, snowflake schema, etc.)
• Experience with Python or Scala for data processing
• Knowledge of data pipeline orchestration and scheduling

Preferred Skills

• Experience with big data technologies (Spark, Hadoop)
• Familiarity with streaming tools (Kafka, Kinesis)
• Experience with CI/CD pipelines and DevOps practices
• Exposure to data governance and data security best practices

Key Competencies

• Strong problem-solving and analytical skills
• Ability to work with cross-functional teams
• Good communication and stakeholder management
• High ownership and accountability

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.