Job Description

We are seeking a Senior Data Engineer with proven expertise in Databricks, Snowflake, and AWS Cloud . This fully remote contract role requires hands-on experience designing, developing, and optimizing scalable, secure, and high-performance data pipelines across modern cloud-based ecosystems.

• Design, develop, and maintain data pipelines and ETL workflows using Databricks and Snowflake .
• Implement data ingestion, transformation, and orchestration solutions across structured and unstructured data sources.
• Develop and optimize data models , warehouse schemas, and partitioning strategies for analytical performance.
• Build and maintain AWS-based data infrastructure (e.g., S3, Lambda, Glue, Redshift, IAM, CloudFormation).
• Ensure data security and compliance through encryption/decryption processes and governance frameworks (e.g., encrypt/decrypt guest reservation data).
• Implement CI/CD pipelines for data engineering using tools like GitHub Actions , AWS CodePipeline , or Azure DevOps .
• Collaborate with data scientists, analysts, and architects to align infrastructure with business intelligence needs.
• Monitor, troubleshoot, and resolve data pipeline performance or reliability issues.
• Document technical solutions and follow best practices for code versioning , testing , and deployment .

• 5+ years of experience in Data Engineering , building and maintaining cloud-based data solutions.
• Hands-on experience with Snowflake (mandatory):
• Expertise in Snowflake SQL , data modeling , staging , warehouse optimization , time travel , and data sharing .
• Experience integrating Snowflake with Databricks and AWS data services.
• Strong proficiency in Databricks (PySpark, Delta Lake, notebook development).
• Solid knowledge of AWS Cloud services such as S3 , Glue , Athena , Lambda , Step Functions , and Redshift .
• Proficiency with Python and SQL for data manipulation and ETL logic.
• Strong understanding of ETL/ELT frameworks , data lakehouse architectures , and data governance principles .
• Experience with data encryption, decryption, and key management best practices.
• Excellent communication, documentation, and collaboration skills.

• Experience with Airflow , dbt , or AWS Glue Workflows for orchestration.
• Familiarity with Terraform or CloudFormation for infrastructure as code.
• Exposure to Azure Data Factory , Google BigQuery , or Kafka streaming pipelines.
• Knowledge of CI/CD automation for data pipelines.
• Certifications (e.g., AWS Certified Data Analytics - Specialty , Databricks Certified Data Engineer , SnowPro Core ).
• Experience working in agile environments with DevOps and Git-based workflows.

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