Senior Data Architects
6 days ago
Location: 309 West 49th Street NYC NY 10019
Duration: 18 months
Start: ASAP
Positions: 4
Skills Needed:
- Must have 14 yrs+ of experience in the IT Industry.
- Must have 8+ years of experience working for US companies in the US.
- Must have 8+ years of experience as a Data Architect / Engineer.
- Must have 5+ years of 'Recent' (since 2015) experience working in a Major Banking or Brokerage house environment.
- Must have 6+ years of experience with Informatica, and Azure.
- Must have 6+ years of experience designing and implementing ETL (Informatica) process using SQL, ETL tool and Linux shell scripting to deliver high quality solutions.
- Strong data analysis, advance SQL query writing skill and resolving the defects by working across multiple teams
- Must have 4+ years of experience with the cloud platform AWS.
- Must have 7+ years of programming experience with Python.
- Experience with data modeling, schema design, and database concepts.
- Excellent problem-solving skills and attention to detail.
- Ability to work independently and collaboratively in a team environment.
- - Strong communication skills with the ability to explain complex technical concepts clearly.
- Be Data Architects / Engineers with experience leading enterprise data projects.
- Be the experts in leading projects and teams in the Data space, using traditional, new, and emerging technologies.
- Design and develop data warehouse solutions using Informatica, and Azure.
- Collaborate with stakeholders to understand data requirements and translate them into technical specifications..
- Implement ETL processes for data extraction, transformation, and loading utilizing Informatica.
- Utilize Python for data manipulation, data processing, file management and automation.
- Work on vaticinate and smash projects to enhance data warehouse performance.
- Manage data storage solutions on Server, AWS, or other cloud platforms.
- Extensive experience optimizing data processing utilizing Apache Spark and Linked data.
- Provide technical guidance to the team on data architecture best practices.
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