{"id":2810545,"url":"https://alion.io/job/creative-software-data-engineer-ref7025","title":"Data Engineer - REF7025","company":{"id":62439,"name":"Creative Software","domain":"creativesoftware.com","url":"https://alion.io/company/creative-software","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Rooster","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-23T05:54:15Z"}},"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":["Colombo, Sri Lanka"],"countries":["LK"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Java","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-07-31T05:20:43Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-10-23T18:37:01Z","board_verified":true,"closed_at":null,"days_open":84,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":84},"description":"About Creative Web Technologies:Creative Web Technologies Pvt Ltd is a Sri Lankan software organization focused on developing innovative Data and AI solutions, empowering businesses and clients across local and international markets.\nAbout the role:\nAs a data engineer, you will play a vital role in designing, developing, and managing the data architecture and tools required for analysing large data volumes. Collaborating closely with the team and reporting to the project lead, you will be taking initiative in various data engineering aspects such as designing efficient data pipelines to optimizing database performance. Your responsibilities include supporting the team in data architecture design, ETL processes, and database management.\nWhat you will be doing:\nDesign and implement scalable, high-performance data architectures to meet the organization's data processing and storage needs.\nCollaborate with teams to understand data requirements and design solutions that support analytics, reporting, and machine learning.\nDevelop and maintain scalable, and efficient data pipelines for ingesting, processing, and transforming large volumes of data.\nImplement ETL (Extract, Transform, Load) processes to move and transform data between systems.\nCreate, modify, and troubleshoot SQL stored procedures to meet functional and performance requirements, ensuring data accuracy and consistency.\nManage and optimize databases, ensuring data integrity, security, and performance.\nSelect and implement appropriate database technologies based on project requirements.\nWork with big data technologies to process and analyze large datasets.\nImplement distributed computing solutions for handling big data challenges.\nEstablish and enforce data quality standards and best practices.\nImplement data governance policies to ensure compliance and security.\nDeploy and manage infrastructure for data storage, processing, and retrieval.\nMonitor and optimize the performance of data systems.\nCo-operate with teams, including data scientists, analysts, and business stakeholders, to understand data requirements and deliver solutions.\nCommunicate technical concepts and solutions to non-technical stakeholders.\nWhat we expect:\nBachelor's or master's degree in computer science, Information Technology, or a related field.\n2-3 years of proven experience as a Data Engineer or in a similar role.\nProficiency in programming languages such as Python, Java, or Scala.\nExperience with database technologies (e.g., SQL, NoSQL), data warehousing, and big data technologies.\nFamiliarity with cloud platforms (e.g., 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