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 explicit 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.

📌 Data engineering (1815) (Hyderabad)
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📍 Hyderabad