Junior Data Engineer with Hadoop

  • Full Time
  • New York
Tech Consulting

Cutting-edge solutions for a digital world, tailored to your business needs.

About the Company

The company is a premier IT consulting firm specializing in delivering Big Data solutions across various industries including finance, energy, e-commerce, logistics, travel, retail, entertainment, automotive, and healthcare. It brings over 25 years of combined domestic and international experience serving Fortune 1000 clients and innovative startups.

About the Role

This full-time, W-2 consultant role offers an opportunity to advance a technical career within a dynamic and rapidly growing environment. The position requires relocation anywhere in the US on a client project-to-project basis and involves onsite, in-office work.

Responsibilities

  • Develop and maintain code using Python and SQL.
  • Work with Big Data technologies in both cloud and on-premises environments such as Hadoop, HDFS, Spark, NoSQL databases, Hive, MongoDB, Airflow, Kafka, AWS, Azure, Docker, or Snowflake.
  • Apply object-oriented programming principles and concepts.
  • Utilize data visualization tools like Tableau or Power BI.
  • Work with streaming technologies such as Apache Flink or Apache Storm.
  • Follow data security best practices and compliance requirements, including GDPR and HIPAA.
  • Apply knowledge of AI and machine learning techniques.

Required Skills

  • 1 to 4 years of programming experience after completing a degree.
  • Proficiency in Python and SQL coding.
  • Familiarity with Big Data technologies and cloud/on-premises environments.
  • Good understanding of OOP principles.
  • Experience with data visualization tools such as Tableau or Power BI.
  • Familiarity with Apache Flink or Apache Storm.
  • Awareness of data security and compliance standards.
  • Knowledge of AI and ML techniques.
  • Relocation willingness for onsite assignments across the US.
  • Strong English communication skills, written and verbal.
  • Bachelor’s degree in Computer Science, Information Systems, Electrical Engineering, Mathematics, or related quantitative field.

Please refer to the official website below for a comprehensive job description:

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