Data Engineer

1 month ago

Glendale, United States ESB Technologies Full time

NO H1b Candidate required

Job Description: Data Engineer


Responsibilities

  • Design, build, and maintain scalable, reliable data pipelines and systems to support data ingestion, transformation, and storage.
  • Develop and optimize ETL (Extract, Transform, Load) processes to handle large datasets efficiently.
  • Collaborate with data scientists, analysts, and software engineers to implement robust data solutions.
  • Implement and manage databases, data warehouses, and data lakes (e.g., Redshift, Snowflake, BigQuery).
  • Create and maintain data architecture documentation and workflows.
  • Monitor and troubleshoot performance and data-related issues.
  • Ensure data quality and governance by implementing validation mechanisms and compliance standards.
  • Work with cloud-based platforms (AWS, Azure, GCP) for data processing and storage.
  • Drive continuous improvement in data engineering practices and processes.

Qualifications

Required Skills

  • Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent work experience).
  • 3+ years of experience as a Data Engineer or in a similar role.
  • Strong experience with SQL and relational databases.
  • Proficiency in programming languages such as Python, Java, or Scala.
  • Experience building and optimizing ETL pipelines and workflows.
  • Familiarity with big data technologies like Hadoop, Spark, or Kafka.
  • Knowledge of cloud-based data services (e.g., AWS Glue, Azure Data Factory, Google Cloud Dataflow).
  • Strong understanding of data modeling, data warehousing, and data lakes.
  • Hands-on experience with data visualization tools (e.g., Tableau, Power BI).

Preferred Skills

  • Experience with containerization and orchestration tools like Docker and Kubernetes.
  • Familiarity with real-time data processing.
  • Experience with CI/CD pipelines for data engineering.
  • Knowledge of data governance and compliance (e.g., GDPR, CCPA).
  • Certification in cloud technologies like AWS Certified Data Analytics, Azure Data Engineer, or GCP Data Engineer.

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