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Job Location: Bengaluru, Karnataka, The Great Bharat
Job Detail:
About DISH:
DISH Network Technologies India Pvt. Ltd is a technology division of DISH. In India, the technology division is located in Bengaluru and Hyderabad. These centers were established in the market to provide opportunities to the world’s best engineering talent, and to further boost innovation in multimedia network and telecommunications development. The Bengaluru center is a state-of-the-art facility, which plays a crucial role in fostering innovation. One of DISH’s largest development centers outside the U.S., we have a growing team of over 600 dynamic professionals, who are committed to delivering our vision to change the way the world communicates. With multidisciplinary expertise of our engineers, we have filed for over 200 patents in the market
Job Duties And Responsibilities
- Actively engage with other data warehouse engineers representing business needs and shepherding projects from conception to production
- Creation and optimization of data engineering pipelines for analytic projects
- Building enterprise Data warehouse and Data marts for the business
- Strong analytic capability and the ability to create innovative solutions
- Participate in the Unit Testing, defect resolution, and root cause analysis of data sources as well as actively engaged in the identification and resolution of PROD broke issues
- Provide technical guidance to L1/L2 team members and help to resolve ETL related issues
- Independently working with stakeholders across the organization to deliver enhanced functionality
- Need to work as on call-support
Desired Skills
- Engineering degree with 3 to 6 years of experience in development and production support of large Enterprise Data Warehouse in cloud data environment
- Experience in transforming/integrating data in Redshift/Snowflake
- Experience in developing/debugging and fixing data ingestion pipelines both real time and batch
- Experience with Cloud computing platforms like Amazon AWS, Google Cloud.
- Knowledge of building streaming ingestion pipeline using Kafka streams
- Strong in writing complex SQLs to ingest data into cloud data warehouses
- Good hands on experience in shell scripting or python
- Experience working with external job schedulers such as Autosys, AWS data pipeline, Control-M
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