Job Title: Data Engineer
Location: Jersey City, NJ
Job Description:
· Design, develop, and maintain scalable ETL/ELT pipelines.
· Build and optimize data models for reporting and analytics.
· Develop and maintain data warehouses and data lakes.
· Integrate data from multiple internal and external sources.
· Monitor data pipelines to ensure data quality, reliability, and performance.
· Implement data validation, cleansing, and transformation processes.
· Collaborate with cross-functional teams to understand business requirements.
· Optimize SQL queries and database performance.
· Implement data governance, security, and compliance standards.
· Troubleshoot data issues and provide timely resolutions.
· Automate data workflows using orchestration tools.
· Maintain technical documentation for data architecture and pipelines.
Required Qualifications:
· Bachelor''s degree in Computer Science, Information Technology, Engineering, or a related field.
· 1-3 years of experience in Data Engineering or a similar role.
· Strong proficiency in SQL.
· Experience with Python or Scala.
· Experience building ETL/ELT pipelines.
· Knowledge of relational and NoSQL databases.
· Experience with cloud platforms such as AWS, Azure, or Google Cloud.
· Familiarity with data warehousing concepts.
· Strong problem-solving and analytical skills.
· Excellent communication and collaboration abilities.
Preferred Qualifications:
· Experience with Apache Spark.
· Experience with Apache Kafka.
· Hands-on experience with Airflow or similar workflow orchestration tools.
· Knowledge of Docker and Kubernetes.
· Experience with CI/CD pipelines.
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