| Company: | Baker Hughes |
|---|---|
| Job Role: | Big Data Engineer |
| Experience: | (5+years): |
| Vacancy: | 10+ |
| Qualification: | Bachelor Degree In computer Science/Software Engineering/Mathematics or related field |
| Salary: | Upto Rs.9.6LPA |
| Location: | Bengalore India |
| Join us on Telegram | Click Here |
| Apply Mode: | (Online) |
| Deadline: | Not Mentioned |
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- Developing scalable and high-performance data ingestion pipelines from multiple sources using Databricks in AWS or Azure
- Build and support reusable frameworks to ingest, integrate and provision data
- Automation of end to end data pipeline with metadata, data quality checks, and audit
- Build and support a big data platform on the cloud
- Build and support data pipelines for data extraction, transformation, and loading processes using cloud native services or custom scripting using python, pyspark, spark etc.,
- Design, build and operationalize large scale enterprise data solutions and applications
- Fuel your passion
- To be successful in this role you should:
- Be a graduate in Computer Science/Software Engineering/Mathematics, or related field with a minimum of 5 years of experience in information technology
- Minimum of 2+ years’ experience in data warehouse/data lake technical architecture
- Have hands-on experience implementing data analytics solutions using Databricks with in depth understanding of Spark Architecture including Spark Core, Spark SQL, Data Frames
- Experience with other Open Source big data products Hadoop
- Expertise with Open Source non-relational / NoSQL data repositories Experience working with structured and unstructured data
- Have familiarity with the Technology stack available in the industry for data management, data ingestion, capture, processing and curation
- AWS certifications and Databricks certifications are a plus
- Work in a way that works for you
- We recognize that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too. In this role, we can offer the following flexible working patterns:
- Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive
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How to Apply Click on the Below link, it will redirect you to source Page and apply there.
Note: If you are facing any issues while applying jobs, please let us know by commenting below. We will solve your issue as soon as possible, Advice not to share card details pay money to anyone, and be aware from those types of traps
How to Apply Click on the Below link, it will redirect you to source Page and apply there.
Apply Now Click Here
Note: If you are facing any issues while applying jobs, please let us know by commenting below. We will solve your issue as soon as possible, Advice not to share card details pay money to anyone, and be aware from those types of traps
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