{"id":4335018,"url":"https://alion.io/job/capri-global-capital-lead-data-engineer","title":"Lead Data Engineer","company":{"id":996,"name":"Capri Global Capital","domain":"cgcl.co.in","url":"https://alion.io/company/capri-global-capital","size_band":"5000+","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":"lead","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","Noida, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":9,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Airflow","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Java","optional":false},{"name":"Jenkins","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-11-15T10:35:00Z","employer_posted_date":null,"last_verified_at":"2026-11-15T10:35:00Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"We are looking for a Lead Data Engineer with strong experience in building scalable data platforms and driving data engineering initiatives. In this role, you will work closely with stakeholders to design, develop, and optimise data pipelines and analytics platforms. You will play a key role in building a robust data infrastructure, ensuring data quality, and enabling data-driven decision-making across the organisation. This role requires both strong technical expertise and leadership capabilities to guide teams and drive execution.\n\nResponsibilities: \nDesign and develop scalable data engineering platforms and pipelines.\nBuild and manage robust ETL pipelines and data workflows.\nImplement data modelling solutions, including data marts and warehousing.\nDevelop and optimise big data processing systems using modern tools and frameworks.\nBuild and manage data lakes and analytics platforms on AWS Cloud.\nEnsure data quality, security, and governance across systems.\nWork with APIs to create, read, transform, and store data in structured formats.\nCollaborate with cross-functional teams to drive data initiatives and business outcomes.\nContribute to product vision and help drive the data engineering roadmap.\n\nRequirements: \n7-11 years of experience in developing platforms in data engineering.\nHands-on experience with SQL, ETL pipelines, and data modelling/marts.\nStrong technical expertise in tools/languages such as SQL, Scala, Python, R, Java, Snowflake, Spark, Apache Airflow, Redash, Tableau, etc.\nSolid understanding of data engineering best practices: data integration, data security, data warehousing, data analytics, metadata management, and data quality.\nExperience in implementing big data analytics platforms and data lakes using AWS Cloud services.\nAdept at articulating product vision and driving the future roadmap with strong business acumen.\nKnowledge of cloud technologies (AWS), CI/CD, Jenkins, and testing methodologies is preferred.\nStrong leadership skills, including hiring, mentoring, and retaining data engineering talent.\nExcellent written and verbal communication skills.\nExperience with Scrum or Agile development methodologies.\nSkills\nAWS, Amazon Web Services, ETL, Python, SQL, Scala, Snowflake, 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