Analyst (Data Engineering) @ FIS Global Business

Job Description

Job Description We are looking for a Data Engineering who will be majorly responsible for building data pipelines using AWS by integrating several data sets to enable the team to perform univariate and multivariate analysis. You are expected to build and manage Data warehouse solutions, data models, creating ETL processes, integrating various data sets, implementing data quality checks. Roles & Responsibilities: Data Pipeline Development: Design, build, and maintain scalable data pipelines that efficiently extract data from various sources, transform it as per business requirement, integration of data and load it into target data storage systems. Data Quality: Implement data quality checks and validation processes to ensure data accuracy, completeness, and consistency at each layer. Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues. Communication with external data providers in case of source data issues for. resolution Required Technical Skills Minimum of 2 years of relevant hands-on experience in AWS services like S3, Glue, Lambda, CloudWatch, Athena or any cloud experience. Sound knowledge of DWH/ ETL development. Hands-on experience in any ETL tools preferably AWS Glue/ Informatica/ Matillion/ Talend/ SSIS Minimum 2 years of experience in Programming language like Oracle SQL, Python Database knowledge in Redshift, MongoDB Deployment expertise on cloud platforms like AWS/ Azure Knowledge of SFDC, Waterfall/ Agile methodology Sound knowledge of Pharma domain/ life sciences commercial data operations. CI/CD, GitHub / GitLab, Kubernetes, DevOps skills like Jenkins for pipelines. Qualifications Bachelors or masters degree (Engineering, Applied Mathematics, Management Science, Data Science, Statistics or Econometrics). 2-5 years of relevant industry experience. Extensive experience in Data Warehouse, ETL, any cloud services preferably AWS High motivation, good work ethic, maturity, self-organized and personal initiative. Excellent written and verbal communication skills

Employement Category:

Employement Type: Full time
Industry: IT
Role Category: IT Services & Consulting
Functional Area: Not Applicable
Role/Responsibilies: Analyst (Data Engineering)

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Keyskills:   AWS Glue Athena DWH ETL Informatica Talend SSIS Oracle SQL Python MongoDB SFDC Waterfall Agile methodology GitHub GitLab Kubernetes DevOps Jenkins S3 Lambda CloudWatch Matillion Redshift CICD