Job Description
Role and Responsibilities
- Responsible for working on scalable ETL solutions and data pipelines from different types of data sources using python
- Investigate data to identify potential issues within ETL pipelines , notify end-users and implement adequate solutions
- Solve challenging data and architectural problems using cutting edge technology
- Responsible in working with business analysts across different functions to support ad-hoc analysis
- Cross functional collaboration with data science / IT Applications teams
Skills and Experience:
- Engineering or MCA background with 3 – 8 years of experience in data engineering / data warehousing
- 3+ years of relevant experience
- Strong python programming/debugging ability and clear design patterns understanding. Knowledge in C# is a plus
- Should be excellent in the SQL skills
- Hands on experience in Kafka
- Implementing data wrangling, transformation and processing solutions , demonstrated experience of working with large datasets
- Knowhow of cloud computing platforms like AWS
- Exposure to data lakes and data warehousing concepts, SQL (Redshift, PostgreSQL), NoSQL databases
- Exposure to developing/supporting API (REST/SOAP) based integration with various cloud vendors.
- Good analytical skills and high attention to detail
- Ability to be creative, versatile, efficient and productive
- Excellent communication (written and verbal) and interpersonal skills
Company Info.
Bloom Energy
Bloom Energy is a public company headquartered in San Jose, California. It manufactures and markets solid oxide fuel cells that produce electricity on-site. The company was founded in 2001 and came out of stealth mode in 2010. It raised more than $1 billion in venture capital funding before going public in 2018.
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Bloom Energy is currently hiring Data Engineer Jobs in Mumbai, Maharashtra, India with average base salary of ₹50,000 - ₹150,000 / Month.