Hi Connections,
Hope you are doing well today.
We currently have the following new IT contract position for one of our client and send resumes to [email protected] or you can contact on 770-872-8118
Position - Sr. AWS Data Architect
Location - Princeton, NJ
Job Description
Key skills - Python and PySpark are also required
RESPONSIBILITIES:
- End-to-end data architectural accountability for defining and refining enterprise architecture for scalable cloud data platform (supporting structured and unstructured data), data lake, data warehousing and business intelligence solutions.
- Deliver well-defined data design documentation and data models that guide and inform product roadmap and software development teams.
- Knowledge of master data management and data governance.
- Designing DB schema, data modeling, Algorithms, Multi tenancy environment.
- Programming and optimizing DB objects Views, Stored Procs, and Functions.
- Creating Pipelines and integrations of multiple data sources using AWS and Azure integration technologies.
- Establish methods and procedures for tracking data quality, completeness, redundancy, compliance and improvement.
- Create strategies and plans for data capacity planning, data security, life cycle data management, scalability, backup and archiving.
- Select and implement the appropriate tools, software, applications, and systems to support data technology goals.
- Oversee the mapping of data sources, data movement, interfaces, and analytics, with the goal of ensuring data quality.
- Define standards for naming, describing, governing, managing, modeling, cleansing, enriching, transforming, moving, storing, searching and delivering data within the data engineering team.
- Understand how data are, or will be used and implication on people, processes, products and technology.
- Create short-term tactical solutions to achieve long-term objectives and an overall data management roadmap.
- Participate in data and information model design across multiple operating units and research stakeholders.
- Hands-on experience with big data architecture and tools (e.g. MongoDB, Spark, Redshift and other applications) and considerations for scalable, distributed systems.
- Hands-on experience with ETL (Extract-Transform-Load) tools (e.g. SSIS).
- Hands-on experience with analytical tools, languages, or libraries (e.g. SAS, Python, R).
- Hands-on experience with cloud computing infrastructure (e.g. AWS Lambda, AWS EC2, S3, DMS, Data Pipelines and automation).
- Drive delivery in a matrixes environment working with various internal IT partners.
Regards,
Nishant Pabbi
Technical IT Recruiter
VTal Technology Solutions LLC
11720 Amber Park Dr, Ste 160
Alpharetta GA 30009
Tel: (770) 872-8118
www.vtalsolutions.com
Creating Value through Talent as a Service
JDVTS
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