{"id":3575160,"url":"https://alion.io/job/physics-wallah-data-engineer","title":"Data Engineer","company":{"id":2275,"name":"Physics Wallah","domain":"pw.live","url":"https://alion.io/company/physics-wallah","size_band":null,"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":"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":["Noida, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":11000,"max_usd":26000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":12},"experience_years_min":1,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Kubernetes","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-31T17:34:42Z","employer_posted_date":null,"last_verified_at":"2026-10-31T17:34:42Z","board_verified":false,"closed_at":null,"days_open":2,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":2},"description":"Role: Data Engineer SDE-1\nLocation: Noida and Bangalore\n\nAbout the Role\nWe are looking for an experienced Data Engineer to design, build, and optimize scalable data\ninfrastructure and pipelines. The ideal candidate will have strong expertise in ETL/ELT\nprocesses, distributed data processing, and data lake and warehouse architectures. They will\nwork closely with cross-functional teams to build reliable, high-performance data solutions that\nsupport business intelligence, analytics, and data-driven decision-making.\n\nKey Responsibilities:\n● Design and implement scalable, efficient ETL/ELT pipelines to ingest, transform, and process data from multiple sources.\n● Architect and maintain robust data lake and warehouse solutions, aligning with business and analytical needs.\n● Own the development and optimization of distributed data processing systems using Spark, AWS EMR, or similar technologies.\n● Collaborate with cross-functional teams (data science, analytics, product) to gather requirements and implement data-driven solutions.\n● Ensure high levels of data quality, security, and availability across systems.\n● Evaluate emerging technologies and tools for data processing and workflow orchestration.\n● Build reusable components, libraries, and frameworks to enhance engineering efficiency and reliability.\n● Drive performance tuning, cost optimization, and automation of data infrastructure.\n● Mentor junior engineers, review code, and set standards for development practices.\n\nRequired Skills & Qualifications:\n● 1+ years of professional experience in data engineering or backend systems with a focus on scalable systems.\n● Strong hands-on experience with Python or Scala, and writing efficient, production- grade code.\n● Deep understanding of data engineering concepts: data modeling, data warehousing, data lakes, streaming vs. batch processing, and metadata management.\n● Solid experience with AWS (S3, Redshift, EMR, Glue, Lambda) or equivalent cloud platforms.\n● Experience working with orchestration tools like Apache Airflow (preferred) or similar (Azkaban, Luigi).\n● Proven expertise in working with big data tools such as Apache Spark, and managing Kubernetes clusters.\n● Proficient in SQL and working with both relational (Postgres, Redshift) and NoSQL (MongoDB) databases.\n● Ability to 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