Data Engineer ( Contract )

Build and enhance ELT/ETL pipelines to ingest, transform, and curate data from multiple sources into clean, trusted datasets. Develop and maintain data processing jobs using Spark and Python, with a focus on performance and reliability. Implement and monitor data quality checks, reconcile issues, and partner with analysts to resolve data defects. Translate requirements into technical tasks and deliver well-documented solutions, including runbooks and operational playbooks. Support day-to-day operations of data pipelines monitoring, incident triage, root-cause analysis, and meeting SLA targets. Develop workflows and scheduling using MWAA (Airflow) and AWS-native services. Collaborate effectively across time zones with onsite stakeholders and the India engineering team through clear communication and proactive status updates. Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.