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Urgent! Data Engineer Position in Austin Texas - Artech LLC



Job description

Job Description: **Please strictly adhere to the following resume naming convention:
ALL CAPS, NO SPACES B/T UNDERSCORES

PTN_US_GBAMSREQID_CandidateBeelineID
i.e. PTN_US_(phone number removed)_SKIPJOHNSON0413

Bill Rate: ***-***

GBaMS ReqID: (phone number removed)
MSP Owner: Jenell
Location: Austin, TX (5x/ week onsite)
Duration: 6 months

Must-haves: Strong n Python, Adv SQL, Proficiency with cloud-scale data-warehousing systems preferably Snowflake, Singlestore, ETL tools, and database, : Working knowledge on analytics tools such as Tableau, Thoughtspot, Looker or similar tools.

Data Pipeline Development
Design, build, and maintain scalable data pipelines and architectures to support data collection, processing, and storage.
ETL
ELT Data replication Processes Develop and manage Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) processes to integrate data from various sources.
Data-warehouse
Design, develop, and implement robust data warehouse architectures and solutions, Create and maintain data models, schemas, and data dictionaries to support reporting and analytics needs.
Optimization
Monitor, maintain, and optimize data warehouse and ETL pipeline performance and scalability to meet business demands.
Security Compliance
Implement and manage data security and privacy measures to comply with company and industry standards.
Monitoring Troubleshooting
Monitor the performance and stability of data pipelines and data applications, troubleshooting issues as they arise.
Collaboration
Work closely with data experts, analysts, and other technical and non technical stakeholders to understand data needs and deliver effective data solutions.
Data Quality Integrity
Implement processes to ensure data is clean, consistent, and reliable across all data sources.
Analytical Tools
Working knowledge in data analytical tools and development of reporting application

Qualifications & Skills
Technical Skills
Proficiency with cloud-scale data-warehousing systems preferably Snowflake, Singlestore, ETL tools, and database technologies
Programming Strong programming skills in languages like SQL and Python
Analytics Tool
Working knowledge on analytics tools such as Tableau, Thoughtspot, Looker or similar tools
Analytical Problem-Solving
Ability to analyze raw data, interpret patterns, and solve complex data-related problems.
Business Acumen
Understanding of business objectives and how data can be used to drive insights and improve business performance.
Communication
Strong collaboration and communication skills to work effectively with technical and non-technical teams.
Comments for Suppliers:


Required Skill Profession

Architecture And Engineering



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