• 13+ years of experience in data architecture, cloud computing, and data engineering.
• Proven expertise in Snowflake architecture, optimization, and implementation.
• Strong experience with AWS services (S3, Redshift, Glue, Lambda, EC2, etc.).
• Proficiency in SQL, Python, or Scala for data engineering and transformation.
• Solid experience in ETL/ELT frameworks, data modeling, and data pipeline orchestration.
• Strong knowledge of data governance, security, and compliance regulations.
• Ability to engage with stakeholders, gather business requirements, and provide solutions.
• Experience with CI/CD pipelines and DevOps practices for data engineering.
• Excellent communication, leadership, and problem-solving skills.
Preferred Qualifications:
• Certifications in Snowflake and AWS (e.g., AWS Certified Solutions Architect, SnowPro Certification).
• Experience with Apache Spark, Kafka, or Databricks is a plus.
• Prior experience in banking, healthcare, or e-commerce domains is advantageous.
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