{"id":1233803,"url":"https://alion.io/job/symphoni-hr-python-data-engineer-2","title":"Python Data Engineer","company":{"id":3800108,"name":"Symphoni HR","domain":"symphonihr.com","url":"https://alion.io/company/symphoni-hr","size_band":"201-500","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mumbai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":14000,"max_usd":34000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":13},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"IAM","optional":false},{"name":"Kubernetes","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-24T00:00:00Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-09-28T14:15:37Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"We are seeking a skilled Python Data Engineer to join our team in Mumbai. In this hybrid role, you will be responsible for designing, building, and maintaining scalable data pipelines and cloud-native data warehousing solutions. You will work closely with cross-functional teams to optimize data architecture and ensure the seamless integration of complex data systems.\nOur client is a leading global professional services firm specializing in accounting and financial advisory. They are known for their commitment to excellence and innovation, providing high-impact solutions to a diverse range of international clients. The organization fosters a collaborative culture that prioritizes professional growth and the adoption of cutting-edge cloud technologies.\nResponsibilities\nDesign and develop robust ETL/ELT pipelines to process large-scale datasets.\nBuild and maintain scalable data warehousing solutions using cloud-native technologies.\nImplement data modeling best practices to support analytical and reporting requirements.\nDevelop and integrate REST APIs to facilitate seamless data flow between systems.\nOptimize AWS infrastructure components including Lambda, Glue, and S3 for performance and cost-efficiency.\nCollaborate with engineering teams to automate workflows using tools like Airflow and Terraform.\nEnsure data quality and security through rigorous testing and IAM policy management.\nMonitor and troubleshoot data platform performance using CloudWatch.\nRequirements\n4-7 years of professional experience in data engineering or a related field.\nStrong proficiency in Python and SQL.\nHands-on experience with AWS services such as Lambda, Glue, S3, CloudWatch, and IAM.\nProven expertise in ETL/ELT development and data modeling.\nExperience with Snowflake and PySpark is highly preferred.\nFamiliarity with containerization tools like Docker and Kubernetes.\nKnowledge of infrastructure-as-code tools like Terraform.\nPrior experience in the healthcare domain is considered a significant advantage.\nAbility to work effectively in a hybrid environment based in Mumbai.","description_format":"text","description_chars":2078,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-25T15:44:01Z"}],"liveness":{"score":54,"band":"ok","label":"Likely open","p_open":1,"p_active":0.542,"p_room":1,"age_days":4,"expected_fill_days":42,"reasons":["conf:4","agency","velocity","win:early","comp:brand"],"computed_at":"2026-09-28T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/symphoni-hr-python-data-engineer-2","json_url":"https://alion.io/job/symphoni-hr-python-data-engineer-2.json","meta":{"generated_at":"2026-09-29T00:26:32Z","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":317,"day_limit":5000,"remaining_today":4683,"minute_limit":60,"resets_at":"2026-09-30T00:00:00Z"}}}