Data Engineer
We're looking for a Data Engineer.
The day-to-day work of a Data Engineer includes:
- Building and maintaining data pipelines using: JavaScript, Python/Flask, Firehose,Apache Spark, ElasticSearch, PostgreSQL, Git, Cloud Services and any other new Technologies.
- Analyze data using Python Pandas, Apache Spark DataFrames, ElasticSearch Kibana.
- Building JavaScript applications capable of tracking and responding to billions of requests per month.
- Developing APIs and integrating with 3rd party APIs to automate manual tasks.
- Integration of services to maximize ad revenues and maintain strong user experience.
- Planning and prototyping new applications.
- Defect resolution of existing and new issues.
- Unit testing new features to ensure they conform to our’s quality standards and meet requirements.
- Code reviews.
- Running performance benchmarking tests.
- Staying up to date with new trends and advancements in web development and ad tech.
- Attending daily stand-up meetings (30 mins) and other Scrum meetings (Every 2 weeks).
Job Type
Client Payroll
Positions
Backend Developer
Must have Skills
Languages
english -Basic
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5 - 55 USD/Hour (Hourly rate)
55 USD
5 - 55 K/Year USD (Annual salary)
Longterm (Duration)
Fully Remote
Jesseth P