Sr Data Engineer, 3866

Job Summary (List Format):

- Design develop and maintain robust ETL pipelines using Data Bricks and Azure Data Factory.
- Transform raw data into actionable insights to support business decision-making.
- Manage and optimize data storage solutions using SQL Server.
- Collaborate with cross-functional teams and stakeholders to gather requirements and ensure seamless data integration.
- Develop and maintain scalable data architectures and data workflows.
- Automate data operations and enhance deployment processes using DevOps practices.
- Write and optimize Python scripts for efficient data processing and analysis.
- Monitor troubleshoot and ensure accuracy and availability of data pipelines.
- Stay updated with industry trends and adopt new data engineering technologies and best practices.
- Ensure high data quality across platforms and facilitate ongoing improvements in data engineering processes.
Key Skills
Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala
Employment Type : Full Time
Experience: years
Vacancy: 1