Hiring: W2 Candidates Only
Visa: Open to any visa type with valid work authorization in the USA
Summary: Data Engineers design build and maintain data pipelines and architecture. They ensure data availability quality and efficiency for analytics and business intelligence.
Key Responsibilities:
- Develop and maintain ETL pipelines.
- Integrate data from multiple sources.
- Optimize data storage retrieval and processing.
- Ensure data quality consistency and integrity.
- Collaborate with data scientists and analysts.
- Implement data governance and security measures.
- Monitor data pipeline performance and resolve issues.
- Document data architecture and workflows.
- Evaluate new data technologies and tools.
- Support data-driven decision-making processes.
Qualifications:
- Bachelors in Computer Science Data Science or related field.
- 3-5 years of experience in data engineering.
- Proficiency in SQL Python and big data tools (Hadoop Spark).
- Experience with cloud data platforms (AWS Azure GCP).
Preferred Skills/Duties:
- Knowledge of data warehousing and BI tools.
- Experience with data modeling and schema design.
- Strong problem-solving and analytical skills.
- Familiarity with real-time data streaming technologies.
Hiring: W2 Candidates Only Visa: Open to any visa type with valid work authorization in the USA Summary: Data Engineers design build and maintain data pipelines and architecture. They ensure data availability quality and efficiency for analytics and business intelligence. Key Responsibilities: Deve...
Hiring: W2 Candidates Only
Visa: Open to any visa type with valid work authorization in the USA
Summary: Data Engineers design build and maintain data pipelines and architecture. They ensure data availability quality and efficiency for analytics and business intelligence.
Key Responsibilities:
- Develop and maintain ETL pipelines.
- Integrate data from multiple sources.
- Optimize data storage retrieval and processing.
- Ensure data quality consistency and integrity.
- Collaborate with data scientists and analysts.
- Implement data governance and security measures.
- Monitor data pipeline performance and resolve issues.
- Document data architecture and workflows.
- Evaluate new data technologies and tools.
- Support data-driven decision-making processes.
Qualifications:
- Bachelors in Computer Science Data Science or related field.
- 3-5 years of experience in data engineering.
- Proficiency in SQL Python and big data tools (Hadoop Spark).
- Experience with cloud data platforms (AWS Azure GCP).
Preferred Skills/Duties:
- Knowledge of data warehousing and BI tools.
- Experience with data modeling and schema design.
- Strong problem-solving and analytical skills.
- Familiarity with real-time data streaming technologies.
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