Senior data engineer

2 days ago

Dombivli, India All European Careers Full time

For an international organization in Geneva, Switzerland, we are urgently looking for a Full Remote Senior Data Engineer. The Senior Data Engineer is responsible for the implementation of the set of automated ETL pipelines, implementation of the analytics of the platform operations and importing new data sources and its maintenance. The Analytics Data Platform is a cloud-native application deployed on AWS through Cloud Formation templates using the following resources: Glue, S3, Lambda, Step Function, Airflow, Athena, RDS, Redshift, and Lake Formation. Candidates need to be willing to work normal office hours in Switzerland. This positions is long-term. Tasks and Responsibilities: Refactor, develop, maintain the web analytics ETL pipeline Use data pipeline jobs to extract data from various sources including on premise relational databases, APIs, Use data pipeline jobs to curate extracted raw data Use data pipeline jobs to apply transformation based on reporting needs Data source connectors to ingest the data from various data sources Write the spark SQLs to produce the datasets Monitor, troubleshoot and remediate the above jobs Data Modelling Maintenance of the existing data models in the data lake and data warehouse Design & Implement data models for new data sources as required Refactor, maintain the Cloud Formation templates and CDK as per the CICD guidelines/requirements Other ad hoc deliverables required by the project Profile: University degree in computer science, engineering or other related discipline; +5 years of experience as Data Engineer; Hands-on experience writing code for AWS Glue in python with Py Spark and Spark SQL; Relational databases such as Postgre SQL (preferably AWS Redshift) with expertise in SQL, query optimization; Serverless Query Service, preferably AWS Athena; Experience in implementing an end to end cloud native Data warehouse platform - data modelling; ETL, data integration and data migration, preferably related to AWS Redshift; Expertise in SQL, query optimization; Experience in implementing data integration from different sources; Experience with AWS Ia C (Cloud Formation & CDK) and CICD pipelines; Experience in Python programming and using Py Spark for distributed computing in AWS Cloud; Experience in working with ERP applications such as People Soft is an added advantage; Development of Reports/Dashboards using Tableau is an added advantage; Fluent in English;

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