{"id":2467345,"url":"https://alion.io/job/moneygram-sr-data-engineer","title":"Sr Data Engineer","company":{"id":58683,"name":"MoneyGram","domain":"moneygram.com","url":"https://alion.io/company/moneygram","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Dayforce","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["India"],"countries":["IN"],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":20000,"max_usd":41000,"period":"year","method":"role_seniority_country_cell","sample_n":61},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"AWS","optional":false},{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"GitLab CI","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Jenkins","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Amazon S3","optional":true}],"status":"live","first_seen_at":"2026-10-12T22:00:00Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-14T12:00:53Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Job Title: Senior Data Engineer\nLocation: India, Remote\n\nAbout the Role\nWe are looking for an experienced Data Engineer with 7+ years of industry experience to design, build, and optimize scalable data pipelines on Google Cloud Platform (GCP) and AWS. The ideal candidate will have hands-on expertise in modern ETL/ELT frameworks, data modeling, and orchestration tools, with a strong focus on performance, reliability, and automation. The candidate should be an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up.\nThis role will collaborate closely with analytics, product, engineering and business teams to deliver high-quality data solutions that enable reporting, insights, and advanced analytics.\nWhat you will get to do as Senior Data Engineer\nDesign, develop, and maintain scalable ETL/ELT pipelines using GCP-native services such as BigQuery, Cloud Composer (Airflow), Dataflow, Cloud Functions, Cloud Storage, etc.\nBuild highly optimized data ingestion frameworks for batch and streaming workloads.\nImplement data transformation logic using SQL, Python, and Apache Beam.\nDesign and implement partitioning, clustering, and optimization strategies in BigQuery for performance and cost efficiency.\nBuild reusable frameworks for ingestion, reconciliation, data quality, and metadata tracking.\nImplement data validation, profiling, and monitoring to ensure data accuracy and completeness.\nEstablish best practices for error handling, logging, and alerting within pipelines.\nSupport data governance initiatives, including documentation, lineage, and change management.\nUse CI/CD pipelines (Cloud Build, GitLab CI/CD, Jenkins, etc.) to automate deployments of data pipelines.\nWork closely with Analytics, Product, and Engineering teams to gather requirements and design scalable data solutions.\nWhat you will need to be successful\nData Engineering Experience: 7+ years of experience in data engineering or related fields.\nStrong expertise in Google Cloud Platform: Including working knowledge of the following tools\nBigQuery\nCloud Composer / Airflow\nDataflow / Apache Beam\nPub/Sub\nCloud Storage\nCloud Functions\nStrong SQL skills: The ability to write complex, optimized queries.\nData Pipeline Development: Hands-on experience leveraging Python for data pipelines and automation.\nETL/ELT Design: Experience designing and executing ETL/ELT solutions in production.\nData Modeling: Solid understanding of data warehousing concepts, dimensional modeling, and analytical data structures.\nVersion Control: Experience with Git-based version control and CI/CD pipelines.\nNice to have experience\nDomain experience in the Fintech industry.\nExperience using AWS data services such as S3 and Glue.\nStrong problem-solving skills and the ability to troubleshoot complex data issues.\nExcellent communication and documentation skills.\nAbility to work independently and manage priorities in a fast-paced environment.\nCollaborative mindset with the ability to work 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