{"id":1227772,"url":"https://alion.io/job/wowjobs-data-engineer","title":"Data Engineer","company":{"id":3800240,"name":"WowJobs","domain":"wowjobs.biz","url":"https://alion.io/company/wowjobs-2","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"inferred_payroll_markers","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":{"min":2900000,"max":3000000,"currency":"INR","period":"year","gross":true,"usd_annual":31446},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Dagster","optional":false},{"name":"Databricks","optional":false},{"name":"Git","optional":false},{"name":"Hadoop","optional":false},{"name":"Jenkins","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Trino","optional":false}],"status":"live","first_seen_at":"2026-09-23T06:34:03Z","employer_posted_date":null,"last_verified_at":"2026-09-23T06:34:03Z","board_verified":false,"closed_at":null,"days_open":7,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":7},"description":"Role: Hadoop Data Engineer\n\nExperience: 8+ Years\n\nLocation: Bangalore\n\nWork Mode: Hybrid\n\nPOSITION SUMMARY:\n\nWe are seeking a highly skilled and driven Senior Data Engineer to join our growing Data Engineering team. The ideal candidate will have strong expertise in building scalable data solutions, modern cloud-based data platforms, and distributed data processing systems.\n\nROLES AND RESPONSIBILITIES:\n\n- Design, develop, and maintain data services that integrate seamlessly with LendingClub products and external vendor systems.\n\n- Build and manage scalable data pipelines using modern technologies such as Hadoop, Spark, DBT, Trino, Airflow/Dagster, and cloud-native AWS services.\n\n- Develop solutions on modern data platforms including Databricks and Snowflake.\n\n- Identify opportunities to automate manual processes, optimize data delivery, improve system efficiency, and reduce cloud infrastructure costs.\n\n- Implement and enhance frameworks for Data Quality, Observability, Governance, Lineage, and Monitoring.\n\n- Support production environments, troubleshoot critical issues, and perform root cause analysis (RCA) to ensure platform reliability.\n\n- Follow engineering best practices including Test-Driven Development (TDD), unit and integration testing, documentation, and knowledge-sharing through technical wikis.\n\nREQUIRED QUALIFICATIONS:\n\n- Strong hands-on experience with distributed data systems and big data technologies, including Hadoop, Spark, Hive, DBT, and Airflow/Dagster.\n\n- Minimum 4+ years of production-grade Python development experience, with a focus on data engineering and pipeline development.\n\n- Experience working with cloud platforms, preferably AWS.\n\n- Hands-on experience with modern data platforms such as Databricks and/or Snowflake.\n\n- Proficiency in Git, Jenkins, JIRA, Shell Scripting, and CI/CD practices.\n\n- Solid understanding of Agile methodologies, source control management, automated testing, and Test-Driven Development.\n\n- Experience collaborating with cross-functional teams in fast-paced, dynamic environments.\n\n- Strong analytical thinking, problem-solving abilities, and communication skills.\n\n- Proven track record of designing and delivering scalable, reliable, high-performance data pipelines and data platforms.\n\nEDUCATION:\n\nBachelor's degree in computer science, Software Engineering, MIS or equivalent combination of education and experience.\n\nKEY SKILLS:\n\nPython, PySpark, Hadoop, Spark, Hive, Data Engineering, Big Data, SQL\nSkills\nHadoop, Python, PySpark, Spark, Data Engineering, Hive, AWS, Databricks, SQL, Big Data, Snowflake DB","description_format":"text","description_chars":2595,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-25T13:06:44Z"}],"liveness":{"score":54,"band":"ok","label":"Likely open","p_open":1,"p_active":0.542,"p_room":1,"age_days":6,"expected_fill_days":30,"reasons":["seen:6","agency","velocity","win:early"],"computed_at":"2026-09-30T05:45:00Z"},"pay":{"stated_usd_annual":31446,"is_top_pay":false},"html_url":"https://alion.io/job/wowjobs-data-engineer","json_url":"https://alion.io/job/wowjobs-data-engineer.json","meta":{"generated_at":"2026-09-30T20:03:24Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"search","counted_by":"address","units_charged":0,"used_today":0,"day_limit":null,"remaining_today":null,"minute_limit":null,"resets_at":"2026-10-01T00:00:00Z"}}}