{"id":1285364,"url":"https://alion.io/job/randstad-india-data-engineering-manager","title":"Data Engineering Manager","company":{"id":2154528,"name":"Randstad India","domain":"randstad.in","url":"https://alion.io/company/randstad-in","size_band":"51-200","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Leadership","role_family":"Leadership","seniority":"lead","employment_type":null,"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":29000,"max_usd":75000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":22},"experience_years_min":14,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Apache Kafka","optional":false},{"name":"BigQuery","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Google Cloud Run","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-08-17T04:47:27Z","employer_posted_date":null,"last_verified_at":"2026-08-17T04:47:27Z","board_verified":false,"closed_at":null,"days_open":43,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":43},"description":"Data Engineer Manager\n\nExperience : 14 - 20 Years\n\nJob Description :\n\nWe are looking for an experienced Data Engineering Manager to lead data engineering teams and drive the development of scalable cloud-based data solutions.\n\nThe ideal candidate should have strong hands-on experience with Python, PySpark, GCP, SQL, ETL and modern data engineering frameworks, along with experience managing large engineering teams.\n\nThe role will involve technical leadership, architecture, delivery ownership and team management.\n\nRole & Responsibilities :\n\n- Lead and manage large Data Engineering teams, including teams of 20+ members.\n\n- Design and implement scalable data engineering solutions using Python, PySpark and GCP.\n\n- Lead the development of enterprise-grade ETL pipelines and data processing frameworks.\n\n- Work with Google BigQuery, Cloud Run, Airflow, Dataproc, Dataflow and Composer.\n\n- Design and manage data pipelines using modern data engineering frameworks.\n\n- Work with Kafka and APIs for real-time data ingestion and processing.\n\n- Develop scalable batch and streaming data solutions.\n\n- Ensure data pipelines are reliable, scalable, secure and optimized for performance.\n\n- Provide technical direction and mentorship to data engineering teams.\n\n- Drive engineering best practices around development, testing, deployment and monitoring.\n\n- Collaborate with architects, product managers and business stakeholders to define technical solutions.\n\n- Own delivery timelines, technical quality and overall team performance.\n\n- Identify opportunities to improve data platforms, processes and engineering efficiency.\n\nRequired Skills & Experience :\n\n- 14 - 20 years of overall experience with strong experience in Data Engineering.\n\n- Strong hands-on experience with Python and PySpark.\n\n- Strong experience with GCP and cloud-based data engineering.\n\n- Strong SQL skills.\n\n- Experience with ETL and data engineering frameworks.\n\n- Hands-on experience with :\n\n1. Google BigQuery\n\n2. Cloud Run\n\n3. Airflow\n\n4. Dataproc\n\n5. Dataflow\n\n6. Cloud Composer\n\n- Experience with Kafka and API-based data ingestion.\n\n- Strong understanding of batch and streaming data processing.\n\n- Proven experience managing and mentoring large Data Engineering teams (20+ members).\n\n- Strong stakeholder management and communication skills.\n\n- Strong problem-solving and technical leadership abilities.\nSkills\nData Engineering, Engineering Management, Python, PySpark, Google Cloud Platform, ETL, Data Pipeline, BigQuery, SQL, Apache Airflow","description_format":"text","description_chars":2519,"description_truncated":false,"requirements":{"experience_years_min":14,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-26T04:00:00Z"}],"liveness":{"score":13,"band":"cold","label":"Long shot","p_open":0.6,"p_active":0.406,"p_room":0.55,"age_days":43,"expected_fill_days":32,"reasons":["seen:43","agency","urgency","win:tail"],"computed_at":"2026-09-29T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/randstad-india-data-engineering-manager","json_url":"https://alion.io/job/randstad-india-data-engineering-manager.json","meta":{"generated_at":"2026-09-30T01:47:11Z","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":"crawler","counted_by":"address","units_charged":1,"used_today":1368,"day_limit":5000,"remaining_today":3632,"minute_limit":60,"resets_at":"2026-10-01T00:00:00Z"}}}