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  4. Click Websites.
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  1. Go to Settings.
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Any Question? Contact us
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Jobs or company...

Sr.Data Architect

Salary undisclosed

Apply on

Dice
Original
Simplified
Hi Pals,
we have a position for Sr. Data Architect on remote.
Title:Sr.Data Architect
Loc:Remote
Duration:12 Months+
Skills:Data Analyst, SQL, Tableau, Snowflake
Data Architecture Design:
Design and implement scalable, high-performance data models and data architectures to meet business requirements.
Develop and maintain data models for both structured and unstructured data, ensuring optimal performance and reliability.
Data Pipeline Development:
Build and manage data pipelines for efficient data ingestion, processing, and integration.
Implement ETL processes to transform and load data from various sources into Snowflake, Redshift, PostgreSQL, and other data platforms.
Cloud Services Management:
Utilize AWS services (such as S3, Redshift, Glue, and Lambda) for data storage, processing, and analytics.
Ensure data infrastructure is scalable, cost-effective, and aligns with industry best practices.
Collaboration with Data Science Team:
Work closely with Data Scientists to understand their data needs and ensure data availability and quality for analysis and modeling.
Provide data support and troubleshooting for data science projects.
Large Data Set Management:
Handle very large data sets with a focus on performance optimization and efficient querying.
Implement strategies for data partitioning, indexing, and caching to enhance performance.
Performance Tuning:
Monitor and optimize data systems for performance, including query optimization and resource management.
Identify and resolve bottlenecks in data processing and retrieval.
Data Delivery Ownership:
Take ownership of data delivery processes, ensuring data is accurate, timely, and accessible.
Establish and maintain data governance policies and procedures.
Life Science Data Expertise:
Apply knowledge of life science data and industry-specific requirements to inform data architecture and modeling decisions.
Ensure compliance with relevant regulations and standards for handling life science data.
Required Skills:
Snowflake: Proficiency in designing, implementing, and managing Snowflake environments and solutions.
Redshift: Expertise in Amazon Redshift for data warehousing and analytics.
PostgreSQL: Advanced knowledge of PostgreSQL for relational database management.
ETL Processes: Extensive experience with ETL tools and frameworks, including data extraction, transformation, and loading.
Thanks & Regards
Paul |Technical Recruiter |Dizer Corp.
1912 Mentor Ave | Painesville | OH 44077
Direct:
Desk No : EXT 130
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Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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