Data Engineer (Contract)

Data Engineer (Contract) Location: India, Hyderabad

Work Experience: 7+ Years

Requirements:

• 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.
• 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.

Qualifications: Bachelors or Masters degree in Computer Science, Information Technology, or a related field.

• 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.