Cynet systems Inc
Data Architect - Remote / Telecommute
Cynet systems Inc, Jersey City, New Jersey, United States, 07390
Overview
Job Description: Pay Range: $07hr - $75hr Responsibilities
Data Pipeline Development: Design, build, and maintain scalable data pipelines to ingest, process, and transform structured and unstructured data. Data Modeling: Create optimized data models to support analytics, reporting, and machine learning workflows. ETL/ELT Processes: Develop and manage ETL/ELT workflows to ensure clean, reliable, and high-quality data. Database Management: Work with relational and NoSQL databases to ensure efficient storage and retrieval of large datasets. Cloud Data Solutions: Implement and optimize data solutions on cloud platforms like AWS, Azure, or GCP. Data Quality & Governance: Ensure data integrity, security, compliance, and quality across systems. Collaboration: Partner with data scientists, analysts, and software engineers to deliver reliable data infrastructure. Automation: Streamline data processes using orchestration tools and automation frameworks. Monitoring & Optimization: Implement monitoring, logging, and performance tuning of data systems. Documentation: Maintain detailed documentation of data pipelines, architecture, and workflows. Skills
Programming Skills: Proficiency in Python, SQL, and familiarity with Java/Scala. Data Pipelines & ETL: Experience with ETL tools (Airflow, DBT, Informatica, Talend). Big Data Frameworks: Knowledge of Spark, Hadoop, Kafka, or Flink. Data Warehousing: Hands-on experience with Snowflake, Redshift, BigQuery, or Synapse. Cloud Platforms: Proficiency in AWS (Glue, Redshift, S3), Azure (Data Factory, Synapse), or GCP (BigQuery, Dataflow). Databases: Strong experience with relational databases (PostgreSQL, MySQL, Oracle) and NoSQL databases (MongoDB, Cassandra). Data Modeling: Expertise in designing star/snowflake schemas, OLTP/OLAP systems. DevOps & Version Control: Familiarity with Git, CI/CD pipelines, and Infrastructure as Code (Terraform). Data Governance & Security: Knowledge of GDPR, HIPAA, encryption, role-based access controls. Analytical Skills: Strong problem-solving and optimization skills in handling big data. Collaboration & Communication: Ability to work in cross-functional teams and clearly document technical processes.
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Job Description: Pay Range: $07hr - $75hr Responsibilities
Data Pipeline Development: Design, build, and maintain scalable data pipelines to ingest, process, and transform structured and unstructured data. Data Modeling: Create optimized data models to support analytics, reporting, and machine learning workflows. ETL/ELT Processes: Develop and manage ETL/ELT workflows to ensure clean, reliable, and high-quality data. Database Management: Work with relational and NoSQL databases to ensure efficient storage and retrieval of large datasets. Cloud Data Solutions: Implement and optimize data solutions on cloud platforms like AWS, Azure, or GCP. Data Quality & Governance: Ensure data integrity, security, compliance, and quality across systems. Collaboration: Partner with data scientists, analysts, and software engineers to deliver reliable data infrastructure. Automation: Streamline data processes using orchestration tools and automation frameworks. Monitoring & Optimization: Implement monitoring, logging, and performance tuning of data systems. Documentation: Maintain detailed documentation of data pipelines, architecture, and workflows. Skills
Programming Skills: Proficiency in Python, SQL, and familiarity with Java/Scala. Data Pipelines & ETL: Experience with ETL tools (Airflow, DBT, Informatica, Talend). Big Data Frameworks: Knowledge of Spark, Hadoop, Kafka, or Flink. Data Warehousing: Hands-on experience with Snowflake, Redshift, BigQuery, or Synapse. Cloud Platforms: Proficiency in AWS (Glue, Redshift, S3), Azure (Data Factory, Synapse), or GCP (BigQuery, Dataflow). Databases: Strong experience with relational databases (PostgreSQL, MySQL, Oracle) and NoSQL databases (MongoDB, Cassandra). Data Modeling: Expertise in designing star/snowflake schemas, OLTP/OLAP systems. DevOps & Version Control: Familiarity with Git, CI/CD pipelines, and Infrastructure as Code (Terraform). Data Governance & Security: Knowledge of GDPR, HIPAA, encryption, role-based access controls. Analytical Skills: Strong problem-solving and optimization skills in handling big data. Collaboration & Communication: Ability to work in cross-functional teams and clearly document technical processes.
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