Midoffice Data
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Jaipur · On-site · 1-3 Yrs · Aug 30
1 to 50 Employees · Dallas, US
Hiring: Engineering
What employees say
+ Great opportunity to learn as direct hand's on tech.
− - as I am a fresher work from home is not that beneficial, Hybrid would be better.
More reviews on the company profile.
Interview experience · Data Engineer
I was asked to join a videocall with 3 other participants. 2 notebooks were given one for analysis other for delta tables. could use gemini for help. very sterile process virtually no human interaction. company doesn't h
Average difficulty · India · 1 reports
More interview insightsJob description
Overview
Key Responsibilities Develop and maintain ETL pipelines for large-scale data processing in AWS/Snowflake, ensuring high-quality data integration and transformationCollaborate with front-end and back-end teams to identify and analyze data requirements, designing and implementing scalable data models and schemasUtilize big data analytics tools and techniques to optimize data pro
Responsibilities
- Develop and maintain ETL pipelines for large-scale data processing in AWS/Snowflake, ensuring high-quality data integration and transformation
- Collaborate with front-end and back-end teams to identify and analyze data requirements, designing and implementing scalable data models and schemas
- Utilize big data analytics tools and techniques to optimize data processing and storage, ensuring efficient and accurate retrieval of informationMonitor and troubleshoot Snowflake/Databricks data pipelines and processes, ensuring data quality and integrity throughout the data lifecycleResearch and implement cutting-edge technologies and best practices in data engineering, staying up-to-date with industry trends and advancements
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