Position : Junior Data Engineer
Location : Edison, NJ
Experience : 0-2 Years
Employment Type : Full-Time
Work Mode: Remote (Work From Home)
We provide structured training, real-time project exposure, interview preparation, and continuous support to help you grow successfully in your
career.
Role Overview
We are looking for recent college graduates or early-career professionals with 0-2 years of experience to join our Data Engineering team. The
ideal candidate will assist in designing, developing, and maintaining scalable data pipelines and cloud-based data solutions. This role is an
excellent opportunity for candidates who want to build practical experience in Data Engineering, Big Data, and Cloud technologies.
Key Responsibilities
Design, develop, and maintain ETL/ELT data pipelines.
Extract, transform, and load data from multiple data sources.
Develop and optimize SQL queries and database solutions.
Build scalable data processing solutions using Python, Spark, and cloud platforms.
Work with AWS, Azure, or Google Cloud Platform (GCP) to manage data infrastructure.
Support data warehousing and data lake implementations.
Perform data validation, quality checks, and troubleshoot pipeline issues.
Collaborate with Data Analysts, Data Scientists, and Software Engineers.
Create and maintain technical documentation and data flow diagrams.
Follow data security, governance, and industry best practices.
Stay updated with the latest Data Engineering tools and technologies.
Required Skills & Qualifications
0-2 years of experience or knowledge in Data Engineering.
Strong understanding of SQL and relational databases.
Basic programming skills in Python, Java, or Scala.
Knowledge of ETL/ELT concepts and data warehousing.
Familiarity with Apache Spark, Hadoop, Kafka, or Airflow.
Basic understanding of AWS, Azure, or GCP cloud platforms.
Knowledge of Snowflake, Amazon Redshift, BigQuery, or Azure Synapse is a plus.
Familiarity with Git, Linux, and version control concepts.
Strong analytical, communication, and problem-solving skills.
Ability to work independently and collaboratively in a remote work environment.
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