{"id":2607954,"url":"https://alion.io/job/liga-data-junior-data-engineer","title":"Junior Data Engineer","company":{"id":4420598,"name":"LigaData","domain":"ligadata.com","url":"https://alion.io/company/ligadata","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"BambooHR","truth_index":{"grade":"C","score":64,"open_postings":10,"ghost_share":0.6,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Amman, Jordan"],"countries":["JO"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":1,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Apache Kafka","optional":false},{"name":"Bash","optional":false},{"name":"ChatGPT","optional":false},{"name":"Copilot","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"Hadoop","optional":false},{"name":"HBase","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"Presto","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Trino","optional":false}],"status":"live","first_seen_at":"2026-09-16T00:00:00Z","employer_posted_date":"2026-09-16","last_verified_at":"2026-10-17T12:11:38Z","board_verified":true,"closed_at":null,"days_open":31,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":31},"description":"Junior Data Engineer - Jordan Office\nJob Overview\nAs 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.\nThe 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.\nResponsibilities\nDevelop and maintain ETL/ELT data pipelines.\nWrite and optimize SQL queries for data processing, validation, and analysis.\nSupport data workflows using Apache Airflow.\nWork with Big Data technologies such as Hadoop, HDFS, Hive, Spark, Presto/Trino, Kafka, and HBase.\nPerform data validation, reconciliation, and data-quality checks.\nDevelop scripts and automation using Shell/Bash and Python.\nMonitor data pipelines and assist in troubleshooting job failures and production issues.\nWork with structured and semi-structured data formats such as Parquet, JSON, CSV, and Avro.\nSupport applications and data workloads running on Kubernetes (K8s).\nAnalyze data to identify inconsistencies, anomalies, and operational issues.\nParticipate in code reviews, documentation, and continuous improvement activities.\nCollaborate with senior engineers, DevOps, QA, database, and analytics teams.\nUse AI-assisted engineering toolsto support development, troubleshooting, documentation, and data analysis while validating generated results before use.\nQualifications\nBachelor’s degree in Computer Science, Engineering, Information Technology, or a related field.\n1-3 years of experiencein Data Engineering, Big Data, Software Engineering, or a related role.\nGood knowledge of SQLand relational database concepts.\nGood understanding of Linux and Shell/Bash scripting.\nBasic knowledge of the Hadoop ecosystem, including HDFS and Hive.\nFamiliarity with Spark, Presto/Trino, and Apache Airflow.\nBasic understanding of Kafkaand distributed data-processing concepts.\nFamiliarity with Kubernetes and containerized environments.\nKnowledge of at least one programming language, preferably Python, Scala, or Java.\nBasic understanding of ETL/ELT, data warehousing, data quality, and data analysis.\nFamiliarity with Git and software-development practices.\nKnowledge and practical experience using AI tools such as ChatGPT, GitHub Copilot, or similar toolsfor engineering tasks.\nGood analytical, troubleshooting, and problem-solving skills.\nStrong willingness to learn and develop technical skills.\nGood communication and teamwork skills.\nSelf-motivated with a strong sense of 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