Data Engineer

Kunai

• $110K — $130K *
US-AnywhereRemote in United States
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years in application development with strong Python skills
  • 4+ years of hands-on experience with AWS cloud services
  • 4+ years working with relational databases like PostgreSQL and writing complex SQL queries
  • Experience with enterprise-scale data migration in cloud environments
  • Familiarity with cloud data platforms such as Databricks and Snowflake
  • Knowledge of distributed data processing and tools like Apache Spark and Kafka
  • Experience with workflow orchestration tools like Apache Airflow

Responsibilities

  • Drive software and data engineering initiatives for the banking client
  • Develop and optimize data pipelines using modern architecture
  • Design and implement data migration strategies
  • Utilize cloud-native technologies to enhance system performance
  • Collaborate with cross-functional teams on data solutions

Benefits

  • Opportunity to work with cutting-edge technologies
  • Collaborative and innovative team environment
  • Exposure to large-scale enterprise projects in a reputable bank
  • Potential for hands-on experience with cloud-native architecture
  • Chance to advance skills in both data and software engineering
Full Job Description
We are hiring Data Engineers to join a team driving software and data engineering for a critical initiative for a premier banking client. This is an exciting opportunity to work hands-on with cloud-native technologies and modern architecture.
  • Required Skills:
    • 5+ years of experience in application development with strong Python programming skills.
    • 4+ years of hands-on experience with AWS cloud services.
    • 4+ years working with relational databases, including PostgreSQL, and writing complex SQL queries.
    • Experience with data migration activities in cloud environments, focusing on enterprise-scale data movement and transformation.
    • Experience working with cloud data platforms such as Databricks and Snowflake.
    • Familiarity with distributed data processing and batch/stream processing tools such as Apache Spark, Kafka, or AWS Kinesis.
    • Experience with workflow orchestration tools like Apache Airflow or similar.

    Nice to Have Skills:
    • Java development experience.
    • Experience with AWS Glue or other AWS data integration services.
    • Proficiency with UNIX/Linux environments, including basic shell scripting.
    • Experience working in Agile teams and knowledge of Agile engineering practices.
    • Prior consulting experience or aptitude for client-facing collaborative environments.


Minimum Degree Required:

  • Bachelor's Degree, in lieu of a degree, demonstrating in addition to the minimum years of experience required for the role, three years of specialized training and/or progressively responsible work experience in technology for each missing year of college is required

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