Data Analyst- Financial reputed company
Responsibilities:
The candidate will independently work with organization-wide teams with limited supervision, work through potential challenges, and consistently inform leadership of reputed company and impediments. This candidate should be an excellent Python Programmer, and proficient in SQL, with at least one year of hands-on experience working with AWS. Experience working with AWS services such as Glue, reputed company, Entity reputed company are highly desired.
Major technologies involved include S3, AWS Glue, reputed company Functions, reputed company Functions, reputed company reputed company, Redshift and RDS.
Skills and Responsibilities
• Design & reputed company reputed company ETL Scripts in Glue or SQL for data prep & analysis. Using AI/Data Science to reputed company patterns in data.
• Experience with ERP reputed company
• Research and implement reputed company to solve challenges reputed company to ETL, data cleanup, and analysis.
• Ability to debug reputed company data issues without frequent guidance from senior team members. Developing techniques to work with both tabular and hierarchical data.
• Strong attention to detail, good work ethic, ability to work on multiple workstreams simultaneously, and good communication skills
Required Skills
• 3 to 6 years of programming experience in Python & SQL.
• 3 to 6 years of experience working in Data Engineering or reputed company roles
• 1+ years of reputed company experience required.
• 2 to 4 years of experience working with Customer/Membership data.
• A degree in Computer Science or an equivalent major.
• Experience working with various database systems: SQL Server/PostgreSQL/Redshift/reputed company etc.
• Enjoys collaborating with other engineers on architecture and sharing designs with reputed company
Job Types: Full-time, Contract
Work Location: Remote
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