{"id":3916398,"url":"https://alion.io/job/arrow-electronics-data-automation-engineer","title":"Data Automation Engineer","company":{"id":1757520,"name":"Arrow Electronics","domain":"arrow.com","url":"https://alion.io/company/arrow-com","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"C","score":61,"open_postings":117,"ghost_share":0.726,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":7,"computed_at":"2026-11-07T05:47:08Z"}},"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":["Banha, Egypt"],"countries":["EG"],"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":"AWS","optional":false},{"name":"AWS Glue","optional":false},{"name":"Azure","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Java","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false}],"status":"live","first_seen_at":"2025-12-10T00:00:00Z","employer_posted_date":"2025-12-10","last_verified_at":"2026-11-07T12:44:48Z","board_verified":true,"closed_at":null,"days_open":332,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":332},"description":"Position:\nData Automation EngineerJob Description:\nAs a Data Automation Engineer, you will play a crucial role in developing and maintaining automated data processing systems. You will work closely with data analysts, and other stakeholders to design, implement, and optimize data pipelines, ensuring the efficient and accurate flow of data throughout the organization.\nWhat You'll Do:\nDevelop and implement automated data pipelines for ingesting, processing, and storing structured and unstructured data.\nIntegrate data from various sources in both real-time and batch mechanisms and perform transformations to ensure consistency, accuracy, and reliability.\nImplement data quality checks and monitoring mechanisms to identify and address issues proactively.\nWrite code and scripts for automation of data processes using languages such as Python, Java, or Scala.\nLeverage ETL (Extract, Transform, Load) tools and frameworks [Apache spark, AWS Glue] for efficient data processing.\nCollaborate with other intelligent data teams.\nEnsure seamless data flow for machine learning and analytics applications.\nImplement monitoring systems to track data pipeline performance 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