{"id":3244169,"url":"https://alion.io/job/arintra-data-engineer","title":"Data Engineer","company":{"id":424,"name":"Arintra","domain":"arintra.com","url":"https://alion.io/company/arintra","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"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":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":14500,"max_usd":39000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":21},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Machine Learning","optional":false},{"name":"Prefect","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-25T18:35:30Z","employer_posted_date":null,"last_verified_at":"2026-10-25T18:35:30Z","board_verified":false,"closed_at":null,"days_open":5,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":5},"description":"We are looking for a Data Engineer who has hands-on experience designing and building data lakes and scalable data pipelines. The ideal candidate will have experience working with modern cloud-based data infrastructure and building reliable pipelines that power analytics, reporting, and machine learning use cases. You will work closely with data scientists, analysts, and product teams to design robust data systems and ensure high-quality, accessible data across the organization.\n\nResponsibilities: \nDesign, build, and maintain scalable data pipelines to ingest, transform, and process large volumes of data.\nBuild and manage data lakes and modern data platforms on cloud environments.\nDevelop ETL/ELT workflows to integrate data from multiple internal and external sources.\nEnsure data reliability, quality, and governance across the data ecosystem.\nOptimize data pipelines for performance, scalability, and cost efficiency.\nCollaborate with data scientists, analysts, and engineering teams to support analytics and machine learning workflows.\nImplement data modeling and schema design to support business intelligence and reporting.\nMonitor and troubleshoot data pipelines and infrastructure issues.\n\nRequirements: \n3-6 years of experience in data engineering or similar roles.\nStrong experience building data pipelines and ETL/ELT workflows.\nHands-on experience with data lake architecture and modern data platforms.\nStrong programming skills in Python or Scala.\nExperience working with SQL and large datasets.\nExperience with cloud platforms such as AWS, GCP, or Azure.\nFamiliarity with data orchestration tools (Airflow, Prefect, etc. ).\nExperience with data warehousing solutions such as Snowflake, BigQuery, or Redshift.\nStrong understanding of data modeling, data transformation, and pipeline optimization.\n\nPreferred Qualifications: \nExperience working with streaming data pipelines.\nExposure to analytics or ML data workflows.\nExperience with containerization and cloud infrastructure.\nUnderstanding of data governance and data quality frameworks.\nSkills\naws, azure, elt, etl, gcp, python, scala, 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