CareerUS Solutions · 8 hours ago
Data Engineer
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Responsibilities
Design and build scalable data pipelines for data collection, transformation, and integration.
Develop and maintain databases (SQL and NoSQL) and data warehouses.
Optimize data pipelines and workflows for performance and scalability.
Ensure high data quality, consistency, and governance across all systems.
Collaborate with data analysts and scientists to provide clean and accessible data for analytics and machine learning.
Integrate and manage data from various sources, including APIs, third-party systems, and internal platforms.
Monitor and troubleshoot data infrastructure to resolve issues efficiently.
Implement data security measures and ensure compliance with regulations.
Qualification
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Required
Bachelor’s degree in Computer Science, Engineering, or a related field.
5-6 years of experience in data engineering or related roles.
Proficiency in Python, SQL, and big data technologies like Spark, Hadoop, or Kafka.
Experience with cloud platforms (AWS, Azure, GCP) and tools like Snowflake or Redshift.
Strong knowledge of ETL processes, data modeling, and database management.
Familiarity with orchestration tools like Apache Airflow or Luigi.
Excellent problem-solving and communication skills.
Preferred
Experience with data visualization tools like Tableau or Power BI.
Knowledge of CI/CD pipelines and MLOps practices.
Certification in cloud platforms or big data technologies is a plus.
Company
CareerUS Solutions
We are a consulting and staffing company that specializes in providing top-notch services to our clients.
Funding
Current Stage
Growth StageCompany data provided by crunchbase