Data Engineer (etl) Job in Eastvantage
Data Engineer (etl)
- Bengaluru, Bangalore Urban, Karnataka
- Not Disclosed
- Full-time
About the account: Our client is the preferred partner for corporations throughout Europe when it comes to implementing and providing maintenance for its customers new digital technologies. More than 40,000 service calls per day clearly make our client one of Europe s leading organization in this market and prove, that if things need fixing, they ll provide a solution. From telecommunications and IT to security & safety installations, smart building technologies and POS devices its more than 8,000 service engineer will find solutions for new technologies. The company offers full service human and technical support to help its customers with new technologies, relying on its network of engineers around Europe for on-site interventions (installation and maintenance) and provides logistics and call center support with its back-office teams. About the role: Ingesting data from sources such as API s and Logs as well as Flat files and DB s. API Client Server Development (REST) particularly with API authentication, data ingestion, etc. Administering both RDBMS and NOSQL with the same data and analytics environment. Using data tools in converting, processing and transforming different file formats (e.g csv, json, parquet, xml). Comfortable with using Python on data and analytics needs. Deploy and maintain scripts on Git repositories. Experience in working with the AWS Suite. Stay up to date with new tech, know new data & analytics technologies before they hit the market. Adept at SCRUM/Agile methodologies and environment Position requirements: Candidate must possess at least a Bachelor s Degree / College, Computer Science / IT At least 3 years of working experience in the related field (Python, ETL). Highly experienced in Continuous Integration (CI) Experience in ingesting data from sources such as API s and Logs as well as Flat files and DB s. Experience with API Client Server Development (REST) particularly with API authentication, data ingestion, etc. Experience with administering both RDBMS and NOSQL with the same data and analytics environment. Experience with using data tools in converting, processing and transforming different file formats (e.g csv, json, parquet, xml). Comfortable with using Python on data and analytics needs. Experience in working with the AWS Suite. Adept at SCRUM/Agile methodologies and environment
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