- Enhancing data integrity and establishing protocols for identifying anomalies within datasets
- Delving into data sets to uncover insights, pinpointing features and discrepancies, and effectively communicating findings to stakeholders.
- Establishing and refining monitoring practices, frameworks, tools, and libraries, and advocating for their adoption across different teams within the organization.
- Streamlining operations through automation, driving enhancements to our systems by advocating for changes that bolster resilience and dependability.
- Develop and maintain ETL processes for ingesting data from various sources
- Stay updated on emerging trends and technologies in data engineering and recommend improvements to existing systems
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data engineer
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Randstad Grand Rapids, United Statesdata engineer. · grand rapids , michigan (remote) · posted march 29, 2024 · job details · summary · $120,000 - $130,000 per year · permanent · bachelor degree · category computer and mathematical occupations · reference · job details · job summary: · This is an opportunity ...
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data engineer
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Randstad Grand Rapids, United Statesdata engineer. · grand rapids , michigan · posted march 29, 2024 · job details · summary · $120,000 - $130,000 per year · permanent · bachelor degree · category computer and mathematical occupations · reference1047300 · job details · job summary: · This is an opportunity for a Sr ...
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Data Engineer
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Randstad USA Grand Rapids, United States Full timejob summary: · This is an opportunity for a Sr Data Engineer to join a fast growing and leading grocery chain in the Midwest. · location: Grand Rapids, Michigan · job type: Permanent · salary: $120, ,000 per year · work hours: 8am to 4pm · education: Bachelors · responsibilities ...
Data Engineer - Emory, United States - Randstad
Description
About the jobYour role involves:
As a successful applicant, you will be familiar with programming languages such as Python, Java, or Scala. Proficiency in utilizing diverse data storage and manipulation tools, including SQL, Elasticsearch or Snowflake. Familiarity with containerization and orchestration technologies like Docker, Kubernetes and etc. Exposure to ETL is required for this role.
Candidates from financial services industry background will be highly preferred.
What's on offer
This is an excellent opportunity to join an established company with high investment in data engineering. You will get the opportunity to work in a high performing team with exposure to latest technology.
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