{"id":956017,"url":"https://alion.io/job/tredence-inc-sr-data-engineer","title":"Sr. Data Engineer","company":{"id":1263,"name":"Tredence Inc","domain":"tredence.com","url":"https://alion.io/company/tredence-inc","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":22000,"max_usd":47000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":75},"experience_years_min":9,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Google Cloud Run","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-16T05:54:44Z","employer_posted_date":null,"last_verified_at":"2026-09-16T05:54:44Z","board_verified":false,"closed_at":null,"days_open":48,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":48},"description":"We are seeking a highly experienced Senior Data Engineer with strong expertise in Google Cloud Platform (GCP), Apache Spark, and Scala to design, develop, and optimize large-scale data processing solutions. 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The candidate will work closely with data architects, data scientists, product owners, and business stakeholders to deliver scalable and reliable data solutions.\nThe core responsibilities for the job include the following:\nData Engineering and Development:\nDesign, build, and maintain scalable ETL/ELT pipelines.\nDevelop large-scale data processing applications using Apache Spark and Scala.\nBuild batch and real-time data ingestion frameworks.\nImplement data transformation, cleansing, enrichment, and aggregation pipelines.\nEnsure data quality, consistency, and governance across platforms.\nGCP Cloud Engineering:\nBuild and support cloud-native data solutions on Google Cloud Platform.\nWork with: BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub, Composer (Airflow), Cloud Functions, and Cloud Run.\nOptimize cloud resources for performance and cost efficiency.\nArchitecture and Design:\nParticipate in data lake and lakehouse architecture design.\nDesign scalable distributed 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