{"id":4343181,"url":"https://alion.io/job/futureproof-consulting-senior-data-engineer-aws-databricks-india","title":"Senior Data Engineer (AWS, Databricks, India)","company":{"id":4544916,"name":"futureproof consulting","domain":"fproof.eu","url":"https://alion.io/company/futureproof-consulting","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Zoho Recruit","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"freelance","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":[],"countries":[],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":{"min":150,"max":null,"currency":"USD","period":"day","gross":null,"usd_annual":37500},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"Machine Learning","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-02T00:00:00Z","employer_posted_date":"2026-09-02","last_verified_at":"2026-11-15T19:58:05Z","board_verified":true,"closed_at":null,"days_open":74,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":74},"description":"This is a remote position.\nWe are looking for 2 Senior Data Engineers to design, build, and maintain scalable data pipelines that power analytics, reporting, and machine learning use cases.\nYou will work with Python, Databricks, AWS, Spark/PySpark, SQL, Docker, Git, and CI/CD tools to move data from different source systems into a data lake and data warehouse. This role is a good fit for someone who enjoys both engineering quality and business impact: clean data models, reliable pipelines, strong documentation, and data that other teams can actually use.\nYou will collaborate closely with Product Analysts, Data Scientists, and ML Engineers to make data accessible, trusted, and understandable across the organization.\nWhat you will work on\nYou will:\nDesign, build, and maintain ETL/ELT pipelines using Python and Databricks\nExtract, transform, and load data from multiple source systems into the data lake and data warehouse\nCreate data transformation rules and data models for analytics and reporting\nImplement data quality checks, logging, monitoring, and orchestration practices\nMaintain data catalogues and support clear data lineage\nWork with Product Analysts, Data Scientists, and ML Engineers to improve data availability and usability\nUse test-driven development practices where relevant\nWork with Git-based version control, branching strategies, Docker, and CI/CD tools\nPrepare and maintain clear technical and SDLC documentation\nRequirements\n7+ years of relevant data engineering experience\nStrong hands-on experience with Python\nPractical ETL/ELT experience on Databricks\nStrong knowledge of AWS cloud services\nSolid database experience and strong SQL skills\n2-3 years of Spark/PySpark experience\nExperience with Git, Docker, and CI/CD tools\nGood understanding of SDLC documentation\nAbility to communicate clearly with engineering, analytics, and data science teams\nExperience in healthcare, pharma or similar.\nNice to have\nExperience with data governance, data catalogues, or data lineage tools\nExperience supporting machine learning or advanced analytics teams\nExperience in regulated or enterprise environments\nKnowledge of modern data lakehouse architecture\nBenefits\nLocation: India\nWork Model: Remote\nContract Type: Freelance / Contract\nStart date: July/August, 2026\n Time Allocation: 40 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