IAM Governance Job at Openkyber, Georgia

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  • Openkyber
  • Georgia

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.

Responsibilities:
  • 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 .
Must Have:
  • 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.
Nice to Have:
  • 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.

Job Tags

Contract work, Remote work,

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