DATAMAXIS, Inc
51 - 200 employees
🤖 Artificial Intelligence
🔒 Cybersecurity
☁️ SaaS
Artificial Intelligence • Cybersecurity • SaaS
DATAMAXIS, Inc is a company that specializes in transforming big data into actionable insights for competitive advantage, market growth, and customer satisfaction. They provide services in artificial intelligence, machine learning, digital transformation, cyber security, and analytics. DATAMAXIS helps organizations use data to make informed decisions, minimize cyber risks, and digitize business processes. The company offers data engineering, data governance, business intelligence, data monetization, cloud solutions, and strategic staffing services. With expertise in both traditional and modern data architectures, DATAMAXIS supports various industries including insurance, automobile, and government sectors. They are also known for their cyber security analytics solutions which help protect against intrusions and data loss, while complying with security requirements for government organizations.
Senior Azure Data Engineer
Job not on LinkedIn
🕒 May 21
📊 Check your resume score for this job
Improve your chances of getting an interview by checking your resume score before you apply.
DATAMAXIS, Inc
51 - 200 employees
🤖 Artificial Intelligence
🔒 Cybersecurity
☁️ SaaS
Artificial Intelligence • Cybersecurity • SaaS
DATAMAXIS, Inc is a company that specializes in transforming big data into actionable insights for competitive advantage, market growth, and customer satisfaction. They provide services in artificial intelligence, machine learning, digital transformation, cyber security, and analytics. DATAMAXIS helps organizations use data to make informed decisions, minimize cyber risks, and digitize business processes. The company offers data engineering, data governance, business intelligence, data monetization, cloud solutions, and strategic staffing services. With expertise in both traditional and modern data architectures, DATAMAXIS supports various industries including insurance, automobile, and government sectors. They are also known for their cyber security analytics solutions which help protect against intrusions and data loss, while complying with security requirements for government organizations.
📋 Description
• Design and build robust, reusable, parameter-driven ingestion and transformation pipeline using Azure Data Factory • Implement medallion architecture on Azure Data Lake Storage Gen2 • Build performant ELT workflows that leverage pushdown to source systems • Develop and optimize PySpark notebooks and jobs on Azure Databricks or Synapse Spark • Design dimensional models and data vault patterns for analytics consumption • Implement Slowly Changing Dimensions and Change Data Capture • Tune distributed SQL workloads in Synapse Dedicated SQL Pool • Implement CI/CD for data pipelines using Azure DevOps • Instrument pipelines with robust logging and monitoring • Lead or contribute to legacy-to-cloud migrations
🎯 Requirements
• 5+ years of data warehouse development experience • 5+ years of data modeling experience using ERWIN or similar tools • 2+ years of experience with Azure Data Factory and Snowflake • Deep hands-on expertise with Azure Data Factory • Strong Experience in Data Bricks and PySpark • Strong working knowledge of Azure Data Lake Storage Gen2 • Experience with Azure Key Vault, Azure AD / Entra ID • Monitoring and troubleshooting with Azure Monitor • Advanced SQL — window functions, CTEs, query optimization • Strong Python for data engineering — pandas, PySpark
🏖️ Benefits
• Flexible work arrangements
Apply NowSimilar Jobs
🕒 May 15
Senior Data Analyst creating machine learning solutions and leading experiments to enhance client experience. Collaborating across teams to drive data-driven decisions and optimize results.
🇺🇸 United States – Remote
💰 $2.3M Seed Round - Abstra on 2022-01
⏳ Contract/Temporary
🟠 Senior
🚰 Data Engineer
Python
SQL
🕒 May 9
Senior Data Engineer building core services for healthcare data platform. Empowering real-world patient and provider outcomes through automation and observability in a fully remote role.
Airflow
Amazon Redshift
AWS
BigQuery
Docker
Kafka
Python
Spark
SQL
🕒 May 9
Lead Data Engineer defining and scaling data platform for Readymag, a design tool company. Owning architecture, implementation roadmap, and ensuring data quality and reliability.
🇺🇸 United States – Remote
💰 $500k Seed Round - Readymag on 2015-03
⏳ Contract/Temporary
🟠 Senior
🚰 Data Engineer
Amazon Redshift
BigQuery
Python
SQL
🕒 May 8
Palantir Foundry Engineer specializing in complex healthcare data integration and pipeline optimization. Remote role for candidates based in the United States with occasional onsite workshops.
PySpark
Python
SQL
🕒 May 8
Data Engineer supporting US Government client with data ingestion, deduplication, and tagging for Databricks migration. Requires extensive experience with Azure and data management technologies.
Apache
Azure
Cloud
ETL
Hadoop
Kafka
Oracle
Perl
Python
Ruby
Spark
SQL
Tableau
