{"id":3563103,"url":"https://alion.io/job/prudent-technology-consulting-data-engineer","title":"Data Engineer","company":{"id":3801510,"name":"Prudent Technology & Consulting","domain":"prudentconsulting.com","url":"https://alion.io/company/prudent-technology-and-consulting","size_band":"201-500","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Keka","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":19500,"max_usd":42000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":75},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ETL/ELT","optional":false},{"name":"Informatica","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-08-24T06:36:14Z","employer_posted_date":"2026-08-24","last_verified_at":"2026-10-31T14:20:02Z","board_verified":true,"closed_at":null,"days_open":68,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":68},"description":"About the Role:\nAs a Data Engineer, you will work with developers, staff, and end-users to provide advanced technical support, maintenance, and logistical support to production and test systems. This job is part of the Database Engineering job function. They are responsible for the upkeep of databases across several company platforms and computing environments.\nWhat You’ll Do:\nDesign, develop, and maintain robust data warehouse solutions to support business intelligence and analytics needs.\nDesign, implement and manage metadata frameworks to ensure data consistency and quality.\nDevelop and maintain reference data and dimensional data models to support various business processes.\nDesign and implement ETL (Extract, Transform, Load) processes using tools like SnapLogic or Informatica to integrate data from multiple sources.\nUtilize Python for data manipulation, automation, and integration tasks.\nOptimize the performance of data systems and processes.\nImplement transformations in DBT (Data Build Tool) to streamline data workflows.\nCollaborate with cross-functional teams to develop and maintain reporting tools and dashboards.\nImplement data governance practices to ensure data integrity, security, and compliance.\nStay updated with the latest advancements in Generative AI and explore opportunities to integrate AI solutions into data engineering processes.\n\nWhat You’ll Need:\nBachelor's degree in Computer Science, Information Technology, or a related field.\n5 to 8 years of experience in working with data platforms\nStrong knowledge of data warehouse concepts, metadata frameworks, reference data, and dimensional data modeling.\nProficiency in ETL processes and tools like SnapLogic or Informatica.\nAdvanced skills in Python programming, DBT and Snowflake.\nAdvanced SQL knowledge.\nExperience with reporting tools such as Tableau, Power BI, or similar.\nUnderstanding of data governance principles and best practices.\nKnowledge of Generative AI and its applications is a plus.\nExperience with DBT (Data Build Tool) for data transformations.\nAbility to optimize the performance of data systems and processes.\nExcellent problem-solving skills and attention to detail.\nStrong communication and collaboration 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