{"id":1230635,"url":"https://alion.io/job/alike-thoughts-data-engineer","title":"Data Engineer","company":{"id":3801241,"name":"Alike Thoughts","domain":"alikethoughts.com","url":"https://alion.io/company/alike-thoughts","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":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":19500,"max_usd":40000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":54},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Google Cloud Spanner","optional":false},{"name":"Gradle","optional":false},{"name":"Jenkins","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Informatica","optional":true},{"name":"Java","optional":true}],"status":"live","first_seen_at":"2026-09-18T04:32:42Z","employer_posted_date":null,"last_verified_at":"2026-09-18T04:32:42Z","board_verified":false,"closed_at":null,"days_open":21,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":21},"description":"Key Responsibilities:\n\n- Design, develop, and maintain scalable data pipelines and ETL processes.\n\n- Build data pipelines using GCP Dataflow and integrate them with Cloud Composer, Apache Airflow, or other scheduling tools.\n\n- Develop and optimize data solutions using Google BigQuery.\n\n- Work with relational databases including Oracle, PostgreSQL, and Spanner.\n\n- Develop solutions for both structured and unstructured data.\n\n- Implement ETL workflows for data extraction, transformation, and loading.\n\n- Work on bulk data loads and streaming data integration.\n\n- Apply data modeling and data architecture principles to develop scalable solutions.\n\n- Implement and maintain CI/CD pipelines using tools such as Jenkins, GitHub Actions, Maven, and Gradle.\n\n- Monitor, troubleshoot, and optimize data pipelines and processing jobs.\n\n- Collaborate with data engineers, architects, application teams, and business stakeholders.\n\n- Contribute to data modernization and cloud transformation initiatives.\n\n- Follow engineering best practices for code quality, version control, testing, and deployment.\n\nRequired Skills & Experience:\n\n- 5 - 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