Data engineering (1815)

Data Engineer (Contract) – India We are seeking a hands-on Data Engineer to build enhance and operate data pipelines and data products on AWS. This is a contract position based in India working closely with onsite and offshore engineering partners to deliver reliable well-governed datasets for analytics and reporting. The Impact: • 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. The Minimum Qualifications: • Bachelor’s degree in computer science Engineering Information Systems or related technical field (or equivalent practical experience). • 7 years of hands-on data engineering experience building and supporting production data pipelines. • Strong SQL skills (design tuning troubleshooting) and experience working with relational and analytical data stores. • 3 years of coding/scripting experience with Python (Java/Scala a plus). • 3 years of experience on AWS (e.g. S3 Glue EMR Lambda IAM CloudWatch MWAA/Airflow). • 2 years of experience with infrastructure-as-code and CI/CD practices (Terraform preferred). • 2 years of experience with Spark; streaming experience with Kafka is a plus. • Experience leveraging AI tools (e.g. GenAI assistants) to improve productivity with an understanding of secure and responsible usage. The Ideal Qualifications • Self-driven delivery-focused and comfortable working in a contract environment with clear milestones and timelines. • Curious and methodical—able to research new data sources open-source tools and ingestion patterns to propose practical approaches. • Strong operational mindset: observability alerting incident response and continuous improvement to reduce pipeline failures. • Clear communicator with strong stakeholder management skills; able to surface risks early and provide crisp status updates. • Familiarity with domain areas such as Portfolio Management Cyber Security and ServiceNow reporting is a plus.