Job description

Job Description:

• Build data crawlers to extract data from customers' data sources using available ETL platforms, and troubleshoot the issues faced during data loading & processing

• Design and build data warehouse models in columnar databases

• Develop data processing scripts using SQL and be able to optimize complex sequences of SQL Queries

• Design, build and deploy effective Talend Solutions to validate, synthesize, transform customer data for integrated business planning and analytics

• Work with Solution Architects to understand customers' business requirements and implement them

• Perform data analysis for complex use cases using SQL document technical specification for

• the cognitive applications that we are creating for the customers

• Own the entire development and implementation workflow

• Participate in the technical design, data requirements gathering and making recommendations on best practices, in case of inaccurate or missing data

• Design and automate the data loading and insights generation process with intelligent checks and balances for sustained value delivery

• Create and execute test plans, document issues and track progress at resolving issues.

Requirements
Must Have:

• Very strong hands-on experience working in ETL (Extract/Transform/Load) processes using Talend.

• Proficiency in databases (SQL Server, MySQL) and skills in one or more languages like SQL, T-SQL with knowledge of DDL, DML, stored procedures, triggers and performance tuning is a MUST

• Basic Unix knowledge

• Familiarity with workflows in programming concepts

• Experience using columnar databases

• Experience working directly with customers and presenting your ideas

• Excellent communication and presentation skills

Good to Have:

• Applied Python programming

• Experience working with JSON and XML files

• Experience using APIs

• Knowledge of SAP

• Knowledge of supply chain fundamentals and terminology

Job Type: Full-time

Salary: $50,628.49 - $115,623.77 per year

Schedule:

• Monday to Friday

Work Location: One location

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