Data Engineer

Siri InfoSolutions Inc
Fort Worth, United States of America
5 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Shift work
Languages
English
Experience level
Senior
Compensation
$ 80K

Job location

Fort Worth, United States of America

Tech stack

Azure
Unix
Cloud Engineering
Cloud Storage
Information Systems
Computer Engineering
Continuous Integration
Data Governance
Data Warehousing
DevOps
Github
IBM Cognos Business Intelligence
Tivoli Management Framework
Python
Microsoft SQL Server
MongoDB
Oracle Applications
Power BI
Cloud Services
Azure
SQL Databases
Tableau
Teradata
Enterprise Software Applications
Data Ingestion
Azure
Snowflake
Grafana
Spark
Data Lake
Information Technology
Cassandra
Data Analytics
Data Management
Terraform
Data Pipelines
Serverless Computing
Powerapps
Service Stack
Jenkins
Alteryx
Databricks

Job description

Overview: Position Summary The Project Engineer - Night Shift - is responsible for providing technical engineering information to the Project Manager, Craft Supervisors, and Co…

  • 1 day ago

Requirements

Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training 5-7 years software solution development using agile, DevOps, operating in a product model that includes designing, developing, and implementing large-scale applications or data engineering solutions 5-7 years data analytics experience using SQL 5-7 years of cloud development and data lake experience (prefer Microsoft Azure) including Azure EventHub, Azure Data Factory, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Power BI. Combination of Development, Administration & Support experience in several of the following tools/platforms required: o Scripting: Python, Spark, Unix, SQL o Data Platforms: Teradata, Cassandra, MongoDB, Oracle, SQL Server, ADLS, Snowflake, Azure Data Explorer. Administration skills a plus o Azure Cloud Technologies: Azure Data Factory, Azure Databricks, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Azure Functions o CI/CD: GitHub, Jenkins, Azure DevOps, Terraform o BI Analytics Tool Stack - Cognos, Tableau, Power BI, Alteryx, Denodo, and Grafana o Clear understanding on Data Warehousing concept o Data Governance and Privacy: Informatica Axon and EDC, BigID o Orchestration: Azure Data Factory, Tivoli Preferred Qualifications- 5-7 years software solution development using agile, devops, product model that includes designing, developing, and implementing large-scale applications or data engineering solutions 5-7 years data analytics experience using SQL 5-7 years of cloud development and data lake experience (prefer Microsoft Azure) including Azure Data Factory, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Power BI. Azure (Data Factory, Azure Functions, ADX, Event Hub, ASA) experience Skills, Licenses & Certifications Expertise with the Azure Technology stack for data management, data ingestion, capture, processing and curation Expertise in providing practical direction within the Azure Native cloud services. Azure Development Track Certification (preferred) Spark Certification (preferred)

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