[Hiring] Data Snowflake Engineer @Apptad, Inc.

Role Description

We are seeking a highly skilled Data Engineer with strong expertise in Snowflake, Python, PySpark, Airflow, and Streamlit to design, build, and support modern cloud-based data platforms. The ideal candidate will have experience developing scalable data pipelines, implementing Snowflake-based data solutions, and working with GCP environments.

• Design, develop, and maintain data ingestion, transformation, and orchestration pipelines in Snowflake.
• Build and optimize Snowflake SQL queries, stored procedures, data models, and Snowpark-based solutions.
• Develop scalable ETL/ELT processes using Python and PySpark.
• Create and manage Airflow DAGs for workflow scheduling, monitoring, and automation.
• Develop interactive dashboards and data applications using Streamlit.
• Work with structured and semi-structured data formats including JSON, CSV, and Parquet.
• Design and implement data quality, validation, reconciliation, and monitoring frameworks.
• Integrate Snowflake solutions with AWS cloud services.
• Troubleshoot production issues, optimize performance, and ensure data reliability.
• Collaborate with business stakeholders, architects, and cross-functional teams to deliver data solutions.

Qualifications

• 8+ years overall Data Engineering experience
• Strong hands-on experience with Snowflake including:
  • Data ingestion and transformation
  • Snowflake SQL
  • Complex joins and performance tuning
  • Stored Procedures, Views, Tasks, and Streams
  • Snowpark libraries
  • Data Modeling
• 5+ years of Python development experience
• Strong knowledge of PySpark
• Hands-on experience with Apache Airflow
• Hands-on experience with Streamlit
• Experience with GCP
• Strong understanding of data warehousing concepts, ETL/ELT, and dimensional modeling.
• Experience working with large-scale structured and semi-structured datasets.
• Strong analytical, debugging, and problem-solving skills.

Preferred Qualifications

• Experience in Banking or Financial Services environments.
• Exposure to AWS services such as S3, EMR, Redshift, or equivalent GCP services.
• Experience with CI/CD, Git, Jenkins, Terraform, or CloudFormation.
• Snowflake and Cloud certifications are a plus.

Education

• Bachelor's or master's degree in computer science, Information Technology, Engineering, or a related field.