{"id":1272396,"url":"https://alion.io/job/mindtel-global-senior-data-engineer","title":"Senior Data Engineer","company":{"id":3806662,"name":"Mindtel Global","domain":"mindtelglobal.com","url":"https://alion.io/company/mindtel-global","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":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Gurgaon, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":43000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":51},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ETL/ELT","optional":false},{"name":"Machine Learning","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Agile","optional":true},{"name":"Airflow","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"dbt","optional":true},{"name":"GCP","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-02T10:41:05Z","employer_posted_date":null,"last_verified_at":"2026-09-02T10:41:05Z","board_verified":false,"closed_at":null,"days_open":26,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":26},"description":"We are looking for an experienced and driven Senior Data Engineer with 6+ years of hands-on experience designing, building, and scaling robust data pipelines.\n\nThe ideal candidate will combine deep technical expertise in PySpark, SQL, and Python with strong business acumen, acting as a crucial bridge between complex data infrastructure and our business stakeholders.\n\nExperience with platforms like Dataiku (DataIQ) is highly preferred to support rapid pipeline development and cross-functional collaboration.\n\nKey Responsibilities :\n\n- Pipeline Architecture & Development : Design, build, and optimize scalable ETL/ELT data pipelines using Python, PySpark, and modern orchestration tools.\n\n- Dataiku (DataIQ) Integration : Leverage visual and code-based recipes within Dataiku to rapidly prototype, deploy, and monitor end-to-end data workflows and machine learning pipelines.\n\n- Database Optimization : Write, tune, and maintain highly complex SQL queries and data models to ensure high-performance analytical reporting.\n\n- Stakeholder Collaboration : Partner directly with business units, product managers, and leadership to understand data requirements, translate them into technical specifications, and present insights clearly.\n\n- Data Governance & Quality : Ensure data integrity, reliability, and security across all pipelines through robust testing, monitoring, and best-practice implementation.\n\n- Mentorship : Guide junior and mid-level engineers on best practices for coding, optimization, and scalable data architecture.\n\nRequired Qualifications & Skills :\n\n- Experience : 6+ years of professional experience in data engineering, data warehousing, or software engineering focused on data systems.\n\n- Big Data Technologies : Advanced proficiency in PySpark and distributed computing frameworks.\n\n- Database Expertise : Exceptional SQL skills, including performance tuning, complex window functions, and schema design for modern cloud data warehouses.\n\n- Platform Preference : Hands-on experience building pipelines using code or Dataiku (DataIQ).\n\n- Programming : Strong software development fundamentals in Python.\n\n- Communication : Exceptional verbal and written communication skills with a proven track record of interacting with non-technical business stakeholders, gathering requirements, and presenting technical concepts clearly.\n\nPreferred Qualifications :\n\n- Experience with cloud platforms (AWS, Azure, or GCP).\n\n- Familiarity with workflow orchestrators like Apache Airflow or dbt.\n\n- Prior exposure to agile development environments and cross-functional teams.\nSkills\nData Engineering, PySpark, SQL, Python, Data Pipeline, Dataiku, ETL, Big Data, AWS, Data Governance","description_format":"text","description_chars":2694,"description_truncated":false,"requirements":{"experience_years_min":6,"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":"2026-09-26T00:07:01Z"}],"liveness":{"score":18,"band":"cold","label":"Long shot","p_open":0.85,"p_active":0.391,"p_room":0.55,"age_days":25,"expected_fill_days":23,"reasons":["seen:25","agency","velocity","win:tail"],"computed_at":"2026-09-28T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/mindtel-global-senior-data-engineer","json_url":"https://alion.io/job/mindtel-global-senior-data-engineer.json","meta":{"generated_at":"2026-09-28T23:35:41Z","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":1276,"day_limit":5000,"remaining_today":3724,"minute_limit":60,"resets_at":"2026-09-29T00:00:00Z"}}}