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Tech Tammina

Senior Data Architects

Tech Tammina, New York, New York, us, 10261


Title: Senior Data Warehouse Architects / EngineersLocation: 309 West 49th Street NYC NY 10019Duration: 18 monthsStart: ASAPPositions: 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 teamsMust 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.The Job:

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.