Overview
Hybrid
$60 - $70
Contract - W2
Contract - 12 Month(s)
Skills
Data Pipeline
ETL
Data governance
Python
Java
Scala
Apache spark
Apache Kafka
Talend
AWS
Azure
GCP
PostgreSQL
MySQL
Oracle
Job Details
Responsibilities:
- Collaborate with stakeholders to understand data requirements and translate them into technical solutions
- Design, develop, and maintain data pipelines and ETL processes
- Implement data integration and transformation solutions to ensure data quality and consistency
- Optimize data storage and retrieval for performance and scalability
- Monitor and troubleshoot data pipelines and systems to ensure data availability and reliability
- Implement and maintain data governance and security measures
- Stay up-to-date with emerging data engineering technologies and best practices
- Act with integrity, professionalism, and personal responsibility to uphold the firm s respectful and courteous work environment.
Qualifications:
- Bachelor's degree in Computer Science, Information Systems, or a related field
- Proven experience as a Data Engineer or in a similar role
- Strong programming skills in languages such as Python, Java, or Scala
- Experience with data integration and ETL tools, such as Apache Spark, Apache Kafka, or Talend
- Proficiency in SQL and database technologies (e.g., PostgreSQL, MySQL, or Oracle)
- Familiarity with cloud platforms and services (e.g., AWS, Azure, or Google Cloud Platform)
- Knowledge of data modeling and database design principles
- Strong analytical and problem-solving skills
- Effective communication and collaboration skills
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