Python Engineer

Join a high-impact data engineering team as a Sr. Python Engineer focusing on enterprise-scale ETL solutions. You will lead the design, development, and optimization of advanced backend ETL services, leveraging cloud-native technologies to drive business-critical analytics. Collaborate with cross-functional experts and develop your technical leadership in a fast-paced, innovation-driven environment., Lead the architecture, implementation, deployment, and tuning of backend ETL services for large-scale enterprise data solutions

• Analyze complex data systems, provide efficient technical solutions, and drive continuous improvement in data processing
• Develop and enforce standards for ETL code quality, compliance, and best practices throughout the project lifecycle
• Collaborate with architects, platform engineers, and product owners to deliver high-performance, reliable data pipelines
• Conduct root-cause analysis for production issues and ensure robust database monitoring and incident resolution
• Author functional specifications and technical designs, aligning deliverables with business needs and objectives
• Implement advanced code and configuration automation within CI/CD frameworks and Infrastructure-as-Code environments
• Provide technical guidance, effort estimation, and impact analysis for project planning and execution

6+ years in ETL development with deep expertise in data cleansing, profiling, transformation, and workflow automation

• Advanced proficiency in complex Python or PySpark coding for data engineering
• Expert-level SQL skills, including performance tuning and debugging
• 3-4 years of hands-on experience with AWS services: Glue, Step Functions, EventBridge, S3, Redshift, Lambda, RDS Aurora/MySQL, CloudWatch
• Strong knowledge of database internals, especially AWS RDS MySQL
• Experience with big data processing and automation using CI/CD and IaC tools (Harness, YAML, CloudFormation)
• Bachelor’s degree in Computer Science, Information Systems, or related technical field (preferred)

Preferred Skills

• Proven experience as a technical lead for ETL/Data Engineering teams
• Hands-on exposure to Apache Iceberg
• Familiarity with observability tools such as Dynatrace or DataDog, Top 5 Skill sets 1 Complex coding in Python or PySpark development experience is a must2 SQL Development debugging optimization 3 AWS - Glue Step Functions Event Bridges4 Knowledge of inner working of Databases - like AWS RDS MySQL 5 Big Data Processing

High-visibility role with leadership responsibilities and technical ownership

• Exposure to enterprise-scale, cloud-based data architecture and cutting-edge AWS services
• Collaborative, cross-functional engineering culture that promotes continuous learning
• Flexible contract opportunity-no face-to-face interview or local residency required