Junior Data Engineer

Junior Data Engineer - Jordan Office

Job Overview

As a Junior Data Engineer at Ligadata, you will support the development, maintenance, and monitoring of data pipelines and Big Data solutions. You will work with senior engineers and cross-functional teams to ensure reliable data processing, data quality, and timely delivery.

The role requires a good foundation in SQL, Linux, Shell scripting, data analysis, and Big Data technologies, with a strong willingness to learn and troubleshoot within a production data environment.

Responsibilities

• Develop and maintain ETL/ELT data pipelines.

• Write and optimize SQL queries for data processing, validation, and analysis.

• Support data workflows using Apache Airflow.

• Work with Big Data technologies such as Hadoop, HDFS, Hive, Spark, Presto/Trino, Kafka, and HBase.

• Perform data validation, reconciliation, and data-quality checks.

• Develop scripts and automation using Shell/Bash and Python.

• Monitor data pipelines and assist in troubleshooting job failures and production issues.

• Work with structured and semi-structured data formats such as Parquet, JSON, CSV, and Avro.

• Support applications and data workloads running on Kubernetes (K8s).

• Analyze data to identify inconsistencies, anomalies, and operational issues.

• Participate in code reviews, documentation, and continuous improvement activities.

• Collaborate with senior engineers, DevOps, QA, database, and analytics teams.

• Use AI-assisted engineering tools to support development, troubleshooting, documentation, and data analysis while validating generated results before use.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field.

• 1–3 years of experience in Data Engineering, Big Data, Software Engineering, or a related role.

• Good knowledge of SQL and relational database concepts.

• Good understanding of Linux and Shell/Bash scripting.

• Basic knowledge of the Hadoop ecosystem, including HDFS and Hive.

• Familiarity with Spark, Presto/Trino, and Apache Airflow.

• Basic understanding of Kafka and distributed data-processing concepts.

• Familiarity with Kubernetes and containerized environments.

• Knowledge of at least one programming language, preferably Python, Scala, or Java.

• Basic understanding of ETL/ELT, data warehousing, data quality, and data analysis.

• Familiarity with Git and software-development practices.

• Knowledge and practical experience using AI tools such as ChatGPT, GitHub Copilot, or similar tools for engineering tasks.

• Good analytical, troubleshooting, and problem-solving skills.

• Strong willingness to learn and develop technical skills.

• Good communication and teamwork skills.

• Self-motivated with a strong sense of ownership.