{"id":3449723,"url":"https://alion.io/job/codvo-senior-data-engineer-databricks","title":"Senior Data Engineer - Databricks","company":{"id":3800246,"name":"Codvo","domain":"codvo.ai","url":"https://alion.io/company/codvo","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":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":19000,"max_usd":42000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":75},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"IAM","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-10-29T08:32:01Z","employer_posted_date":null,"last_verified_at":"2026-10-29T08:32:01Z","board_verified":false,"closed_at":null,"days_open":6,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":6},"description":"Role : Senior Data Engineer (Databricks)\n\nCompany : CODVO. AI\n\nExperience : 8+ Years\n\nAbout CODVO. AI : \n\nAt CODVO. AI, we build scalable, future-ready digital platforms that drive real business impact through innovation, collaboration, and engineering excellence.\n\nRole Overview : \n\nWe are looking for a Senior Data Engineer (Databricks) with strong expertise in Databricks, Python, and AWS to design and build scalable data platforms.\n\nThe role involves developing high-performance data pipelines, optimizing ETL/ELT workflows, implementing data governance frameworks, and enabling data-driven decision-making.\n\nKey Responsibilities : \n\n- Build and maintain scalable data pipelines using Databricks and Python.\n\n- Design, develop, and optimize ETL/ELT workflows for large-scale data processing.\n\n- Implement and manage Databricks Lakehouse Architecture.\n\n- Configure, manage, and govern data assets using Unity Catalog.\n\n- Integrate AWS services, including S3, IAM, VPC, Glue, and Lambda, into data engineering workflows.\n\n- Develop dashboards and reporting solutions to support business requirements.\n\n- Ensure data quality, performance, reliability, and scalability across data platforms.\n\n- Collaborate with cross-functional teams to deliver business-focused data solutions.\n\nRequired Skills : \n\n- 8+ years of relevant professional experience.\n\n- Strong hands-on experience with Databricks.\n\n- Expertise in Python and data engineering best practices.\n\n- Experience with Unity Catalog and data governance.\n\n- Good knowledge of AWS services, including S3, IAM, VPC, Glue, and Lambda.\n\n- Understanding of data lake and lakehouse architectures.\n\n- Experience building dashboards and reporting solutions\nSkills\nData Engineering, Databricks, Python, AWS, Data Pipeline, ETL, DataLake, Data Governance, Data Catalogue, Dashboard Tools, Reporting 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