Senior Data Engineer

Job not on LinkedIn

🔥 1 hour ago

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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MoneyGram

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💳 Fintech

₿ Crypto

👥 B2C

💰 Corporate round on 2023-09

Fintech • Crypto • B2C

MoneyGram is a global payments and remittance company that operates one of the largest cross-border money-transfer networks combining digital reach with extensive cash access. Trusted by tens of millions of consumers, MoneyGram provides consumer remittances, retail cash payout and digital payment services across 200+ countries and territories with hundreds of thousands of retail locations and billions of digital endpoints. The company also integrates crypto and blockchain technologies—operating scaled stablecoin and crypto-to-cash/cash-to-crypto capabilities and participating as a Solana validator—to modernize and speed cross-border payments while remaining focused on consumer convenience and partner distribution.

📋 Description

• Design, develop, and maintain scalable ETL/ELT pipelines using GCP-native services such as BigQuery, Cloud Composer (Airflow), Dataflow, Cloud Functions, and Cloud Storage • Build optimized data ingestion frameworks for batch and streaming workloads • Implement data transformation logic using SQL, Python, and Apache Beam • Design and implement BigQuery partitioning, clustering, and optimization strategies for performance and cost efficiency • Build reusable frameworks for ingestion, reconciliation, data quality, and metadata tracking • Implement data validation, profiling, and monitoring to ensure data accuracy and completeness • Establish best practices for error handling, logging, and alerting within pipelines • Support data governance initiatives, including documentation, lineage, and change management • Use CI/CD pipelines such as Cloud Build, GitLab CI/CD, and Jenkins to automate data-pipeline deployments • Collaborate with Analytics, Product, Engineering, and business teams to gather requirements and design scalable data solutions

🎯 Requirements

• 7+ years of experience in data engineering or related fields • Strong expertise in Google Cloud Platform, including BigQuery, Cloud Composer/Airflow, Dataflow/Apache Beam, Pub/Sub, Cloud Storage, and Cloud Functions • Strong SQL skills, including writing complex, optimized queries • Hands-on experience using Python for data pipelines and automation • Experience designing and executing ETL/ELT solutions in production • Solid understanding of data warehousing concepts, dimensional modeling, and analytical data structures • Experience with Git-based version control and CI/CD pipelines • Domain experience in the Fintech industry (nice to have) • Experience using AWS data services such as S3 and Glue (nice to have) • Strong problem-solving skills and ability to troubleshoot complex data issues • Excellent communication and documentation skills • Ability to work independently and manage priorities in a fast-paced environment • Collaborative mindset with ability to work cross-functionally