Role: Data Engineer
Experience: 4 Years
Location: Pune
Responsibilities:
- Design implement and maintain scalable data pipelines and infrastructure
- Ensure seamless data ingestion storage and transformation processes
- Optimize system performance and support robust data workflows
- Build and maintain data ingestion processes from various sources into the Data Lake
- Develop and optimize complex data pipelines for reliable data flow
- Implement end-to-end testing frameworks for data pipelines
- Collaborate with data analysts and scientists to ensure the delivery of quality data
- Ensure robust data governance security and compliance practices
- Explore and implement emerging technologies to improve data pipeline performance
- Utilize and integrate data from various source system types including Kafka MQ SFTP databases APIs and file shares
Additional Information :
Please Note: Fraudulent job postings/job scams are increasingly common. Beware of misleading advertisements and fraudulent communication issuing offer letters on behalf of T-Systems in exchange for a fee. Please look for an authentic T-Systems email id - .
Stay vigilant. Protect yourself from recruitment fraud!
To know more please visit : Fraud Alert
Remote Work :
No
Employment Type :
Full-time
Role: Data EngineerExperience: 4 YearsLocation: Pune Responsibilities:Design implement and maintain scalable data pipelines and infrastructureEnsure seamless data ingestion storage and transformation processesOptimize system performance and support robust data workflowsBuild and maintain data ingest...
Role: Data Engineer
Experience: 4 Years
Location: Pune
Responsibilities:
- Design implement and maintain scalable data pipelines and infrastructure
- Ensure seamless data ingestion storage and transformation processes
- Optimize system performance and support robust data workflows
- Build and maintain data ingestion processes from various sources into the Data Lake
- Develop and optimize complex data pipelines for reliable data flow
- Implement end-to-end testing frameworks for data pipelines
- Collaborate with data analysts and scientists to ensure the delivery of quality data
- Ensure robust data governance security and compliance practices
- Explore and implement emerging technologies to improve data pipeline performance
- Utilize and integrate data from various source system types including Kafka MQ SFTP databases APIs and file shares
Additional Information :
Please Note: Fraudulent job postings/job scams are increasingly common. Beware of misleading advertisements and fraudulent communication issuing offer letters on behalf of T-Systems in exchange for a fee. Please look for an authentic T-Systems email id - .
Stay vigilant. Protect yourself from recruitment fraud!
To know more please visit : Fraud Alert
Remote Work :
No
Employment Type :
Full-time
View more
View less