qode.world
Data Engineer
🇺🇸 New Jersey, NJ
🕑 Full-Time
💰 TBD
💻 Data Science
🗓️ August 26th, 2025
CI/CD
ETL
NoSQL
Edtech.com's Summary
Qode is hiring a Data Engineer. The role involves working with senior engineers to build, optimize, and maintain scalable data pipelines and infrastructure, ensuring data accessibility, reliability, and security for analytics and business use. The position requires collaboration with data scientists, analysts, and business stakeholders to meet data requirements and support troubleshooting and performance tuning.
Highlights
- Design, develop, and maintain scalable data pipelines.
- Support data integration from multiple structured and unstructured sources.
- Work with databases, data warehouses, and cloud platforms such as AWS, Azure, or GCP.
- Ensure data quality, consistency, and reliability across systems.
- Collaborate with data scientists, analysts, and business stakeholders on data needs.
- Assist in troubleshooting and performance tuning of data processes.
- Required qualifications: Bachelor's or Master's degree in Computer Science, IT, Data Science, or related field.
- Proficient in SQL and relational/NoSQL databases; familiarity with Python, Java, or Scala preferred.
- Basic understanding of ETL, data pipelines, APIs, and data warehousing concepts.
- Exposure to Big Data tools (Hadoop, Spark), data visualization tools (Power BI, Tableau), and DevOps practices is a plus.
Data Engineer Full Description
Job Summary:
We are looking for enthusiastic and motivated campus graduates to join our team as Data Engineers. This role is ideal for fresh graduates who are passionate about data, cloud technologies, and analytics. As a Data Engineer, you will work with senior engineers to build, optimize, and maintain data pipelines and infrastructure, ensuring that data is accessible, reliable, and secure for analytics and business use.
Key Responsibilities:
· Assist in the design, development, and maintenance of scalable data pipelines.
· Support data integration from multiple sources (structured and unstructured).
· Work with databases, data warehouses, and cloud platforms (AWS, Azure, or GCP).
· Ensure data quality, consistency, and reliability across systems.
· Collaborate with data scientists, analysts, and business stakeholders on data requirements.
· Support troubleshooting and performance tuning of data processes.
· Learn and implement best practices in data engineering and cloud technologies.
Qualifications:
· Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, or related field.
· Strong knowledge of SQL and databases (relational and NoSQL).
· Familiarity with at least one programming language (Python, Java, or Scala preferred).
· Basic understanding of data engineering concepts (ETL, data pipelines, APIs, data warehousing).
· Exposure to cloud platforms (AWS, Azure, GCP) is a plus.
· Good problem-solving and analytical skills.
· Strong communication and willingness to learn.
Preferred Skills (Nice to Have):
· Exposure to Big Data tools (Hadoop, Spark).
· Familiarity with data visualization tools (Power BI, Tableau).
· Understanding of DevOps, Git, or CI/CD pipelines.
