{"id":3266352,"url":"https://alion.io/job/extensodata-data-engineer","title":"Data Engineer","company":{"id":4475140,"name":"eXtensoData","domain":"extensodata.com","url":"https://alion.io/company/extensodata","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":"f1soft.com","ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Lalitpur, Nepal"],"countries":["NP"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":58000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1015},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Apache Iceberg","optional":false},{"name":"Apache Kafka","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Hadoop","optional":false},{"name":"Java","optional":false},{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-26T09:27:32Z","employer_posted_date":"2026-10-26","last_verified_at":"2026-10-26T09:27:32Z","board_verified":false,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"We are seeking a versatile and highly motivated data professional who can bridge the gap between Data Engineering, Data Analytics, and Data Science. This role is ideal for candidates who enjoy building data pipelines, analyzing business data, and developing predictive models to solve real-world fintech challenges.\nQualification and Experience\nBachelor’s degree in computer engineering, Computer Science, Data Science, Statistics, Mathematics or a related field.\n3-5 years of relevant experience in Data Engineering, Analytics, Data Science, or Big Data platforms.\nGraduates from TU or KU recognized universities are highly encouraged to apply.\nJob Description\nDesign, develop, and maintain scalable data pipelines.\nBuild and optimize ETL/ELT workflows.\nWork with Data Lakehouse and Data Warehouse architectures.\nEnsure data quality, reliability, and governance.\nProcess large-scale structured and unstructured datasets.\nPerform exploratory data analysis and business intelligence reporting.\nCreate dashboards, KPIs, and executive reports.\nAnalyze customer behavior, transaction trends, and business performance.\nGenerate actionable insights to support decision-making.\nDevelop predictive models and machine learning solutions.\nBuild customer segmentation, recommendation, and personalization models.\nEvaluate and improve model performance and business impact.\nRequired Skills\nAdvanced proficiency in Python (Pandas, NumPy, Scikit-learn), Scala, and Java\nStrong SQL and database skills.\nApache Spark and PySpark.\nData Visualization.\nETL/ELT development and data modeling.\nMachine Learning fundamentals and model deployment.\nPreferred Big Data Technologies:\nHadoop (HDFS)\nApache Spark\nApache Iceberg\nApache Airflow\nKafka\nData Lakehouse \nBenefits of Working at eXtensoData\nStellar opportunity to work with the rising company.\nThe amazing and passionate young team, beautiful office space.\nTrust of biggest FinTech company.\nOne-of-a-kind company culture and growth opportunities to accelerate your career progression.\nHow to apply?\nWe are always keen to meet energetic and talented professionals who would like to join\nour team. 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