Candidates with Financial Services Industry experience will be preferred over others!

Please Note: To effectively evaluate and present suitable candidates for this role, it is crucial to thoroughly review the outlined Must-Have Skills provided in the job insights section. The candidate's resume should comprehensively highlight their qualifications and showcase hands-on experience with the required skills. Additionally, it's essential to verify the credentials listed (i.e. employment details, education) on the resume. To facilitate easy assessment, the resume should be well-formatted in a Word document, featuring a concise and organized summary on the first page, presenting the candidate's skills and experience in bullet points. Thanks !

Experience- 8+ years

Job Description

Minimum 8 years of experience in Data Management and specialized in Analytical data warehouse.
Minimum 3 years hands on experience with Snowflake cloud warehouse and its features.
Good knowledge on cloud AWS architecture and its services.
Experience in creating and analyzing SQL and PL/SQL procedures for data integration.
Developing ETL pipelines in and out of data warehouse using combination of Python and Snowflake SQL. Developing scripts using Unix shell to do Extract and Load data.
Good understanding of logical and physical data models to support analytics and business intelligence.
Experience in creating SQL based processes to build slowly changing dimension and various type of facts.
Experience in Data Lineage Analysis, Data Profiling Mapping Integration, ETL Validation Cleansing Masking Sub setting, Profiling Archiving, Purging Virtualization, Metadata Management, Performing Unit Test, System integration test Support, UAT.
Involve SQL performance tuning, Root causing failures and bifurcating them into different technical issues and resolving them.
Engaged in project using Agile methodology and documentation using Jira
Strong verbal and written communication skills.

This role is Contract to Hire. Please Apply only W2 Candidates!

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