Data Engineer

Crypto.com is a cryptocurrency platform offering various services in the digital finance space.
Data
Mid-Level Software Engineer
Hybrid
3+ years of experience

Description For Data Engineer

As a Data Engineer at Crypto.com, you will be a valued member of our talented data engineering team. You will play a critical role in designing, building, and maintaining our robust data infrastructure. You will collaborate with data analysts, scientists, and business stakeholders to develop and implement data solutions that drive informed decision-making. By adhering to industry best practices, you will ensure the efficient and cost-effective operation of our big data platform, empowering data-driven insights and innovation across the organization.

Responsibilities:

  • Design, develop, and maintain scalable data pipelines and ETL processes
  • Develop and implement data quality checks and monitoring processes
  • Leverage AWS services (e.g., EKS, EMR, S3, Glue, Lambda) for cloud-based data infrastructure
  • Implement CI/CD pipelines for data engineering processes
  • Utilize Infrastructure as Code (IaC) tools like CloudFormation and Terraform
  • Stay up-to-date with the latest data engineering technologies and trends

Qualifications:

  • Bachelor's degree in Computer Science, Engineering, or related field
  • Minimum of 3 years of experience as a Data Engineer
  • Strong proficiency in SQL, Python, and Spark
  • Familiarity with relational databases like PostgreSQL
  • Hands-on experience with AWS cloud services
  • Experience with Kafka, real-time data processing, Tableau, data lake architecture, Databricks, Delta Lake, Apache Airflow, Kubernetes, Docker, CI/CD pipelines, and IaC tools
  • Excellent problem-solving, analytical, communication, and collaboration skills

Join Crypto.com and be part of a dynamic team driving innovation in the cryptocurrency space while working with cutting-edge data technologies.

Last updated 3 months ago

Responsibilities For Data Engineer

  • Design, develop, and maintain scalable data pipelines and ETL processes
  • Develop and implement data quality checks and monitoring processes
  • Leverage AWS services for cloud-based data infrastructure
  • Implement CI/CD pipelines for data engineering processes
  • Utilize Infrastructure as Code (IaC) tools
  • Stay up-to-date with the latest data engineering technologies and trends

Requirements For Data Engineer

Python
Kubernetes
PostgreSQL
  • Bachelor's degree in Computer Science, Engineering, or related field
  • Minimum of 3 years of experience as a Data Engineer
  • Strong proficiency in SQL, Python, and Spark
  • Familiarity with relational databases like PostgreSQL
  • Hands-on experience with AWS cloud services
  • Experience with Kafka and real-time data processing
  • Experience with Tableau setup and maintenance
  • Experience with data lake and lake house architecture
  • Experience with Databricks and Delta Lake
  • Proficiency in Apache Airflow for workflow orchestration
  • Proficiency in Kubernetes and Docker
  • Experience with CI/CD pipelines and tools
  • Experience with Infrastructure as Code (IaC) tools
  • Excellent problem-solving and analytical skills
  • Strong attention to detail and ability to work independently
  • Excellent communication and collaboration skills

Interested in this job?

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