Senior Data Engineer
IN KA Bengaluru, India
Quantiphi
While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!
Must have
• Proven knowledge & experience working on SQL databases like Postgresql, experience working on storing and processing data in Redshift, knowledge of stored procedures, views, materialized views
• Proficiency in AWS data related services like Glue, Lambda, Redshift, DMS, RDS, Kinesis, S3 etc and basic AWS architecture best practices
• Good knowledge of building ETL pipelines by pulling data using APIs
• Good knowledge of working with Python Programming and big data technologies like PySpark • Good knowledge of HTML5, CSS and Material UI
• Ability to identify issues quickly in existing applications and provide resolutions for the same • Ability to collaborate with required cross-functional teams such as developers, devops teams, data engineers, QA, Project Managers, clients and other stakeholders
Good to have
• Familiarity of working with NoSQL databases can be add on • Knowledge of BI tools
• Knowledge of working with streaming pipelines
• Knowledge of schema design for OLAP and OLTP
• Familiarity with cloud best practices and incident response procedures
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Architecture AWS Big Data DevOps ETL Excel Kinesis Lambda NoSQL OLAP Pipelines PostgreSQL PySpark Python Redshift SQL Streaming
Perks/benefits: Career development
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