Junior Data Engineer
3 weeks ago
Location : Bangalore (Hybrid mode of work. Must visit office 4 days in a week)
Experience : 5 - 6 Years
Snowflake is must
Must-Have :
- 5 years' experience in ETL, analytics, business intelligence, and data architecture, including data modeling (logical & physical), data visualization, data warehousing, and analytical enablement
- 4 years' experience in cloud technologies and enterprise frameworks.
- Maintain and build on our data warehouse and analytics environment.
- Design, implement, test, deploy, and maintain stable, secure, and scalable data engineering solutions and pipelines in support of data and analytics projects,
General data manipulation skills :
- Read in data, process and clean it, transform and recode it, merge different data sets together, reformat data between wide and long, etc.
- Use APIs to push and pull data from various data systems and platforms.
- Comfort with data management techniques and ETL platforms
- Strong SQL programming skills
- GCP Native Services-GCS, GKE, Composer, Cloud Functions,etc
- Expert skill in writing Python code for data processing, familiarity with MySQL or other relational databases, and navigating Unix or Linux
- Actively working on Serverless ETL with Python experience.
- Cloud Datawarehouse- Snowflake (Must) or RDS.
- Proficient with Big Query and GCP Data Warehousing tools
- At least one Cloud DW project is a must with Snowflake.
- Demonstrated ability to partner with peers and leaders using strong written and verbal communication
Good to have :
- Strong applied knowledge of basic statistical concepts and data best practices
- Excellent listening, interpersonal, communication, and problem-solving skills.
- Effective time management skills, including demonstrated ability to manage and prioritize multiple tasks and projects
- Demonstrated ability to work effectively in teams, in both a lead and support role.
- Demonstrated ability to work independently and be a self-starter.
- Good understanding of Agile methodology
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