[Hiring] Mid Python API / Backend Engineer @GlobalLogic

Role Description

The project is migrating dealer invoice data (Sell-Out Retail: Workshop and invoices) from on-premise DMS feeds into an AWS-native data platform (Hyperion), against a hard program deadline of 15 December 2026. You'll join the engineering side of the program, working on the data products that ingest, cleanse, and publish this data - with the Data Product SOR fact layer (currently ~81% delivered, only 25% approved by business testers) as the most critical, highest-priority piece of remaining scope.

This isn't a generic "Python + Spark" role - you'll be working inside an existing, opinionated internal framework (mesh_cdk) across several sibling data products that all follow the same raw → trusted → shared (medallion) pattern, so ramp-up is about learning that pattern once and applying it everywhere.

Job Responsibilities

• Build and maintain AWS Glue (PySpark) ETL jobs that cleanse, transform, and publish invoice/workshop data into Apache Iceberg tables.
• Work across the DP SOR / DP Invoice / Master Data pipelines - implementing per-market cleansing rules, data-quality checks, and reconciliation logic against Classic and Compact market feeds.
• Write and maintain Pulumi (Python) infrastructure-as-code for Glue jobs, Step Functions, Lambda triggers, and Lake Formation data-sharing permissions.
• Diagnose and fix root-cause data-quality issues in the pipeline itself (not downstream patching) - this program's stated philosophy, in contrast to the legacy TekCor4 approach.
• Contribute to GDPR-driven data-retention jobs and cross-account data-sharing setups.
• Participate in the existing CI/CD pipeline: GitHub Actions promotion across dev → int → prod, SonarQube/BlackDuck scan gates, pytest-based test suites.
• Work within a market-by-market delivery cadence (features to business every 2 weeks, feedback loop +1 week) - prioritization is largely driven by an active ~189-item backlog.

Qualifications

• 3+ years professional Python development.
• Hands-on production experience with AWS Glue and PySpark (or equivalent Spark experience you can translate quickly).
• Solid SQL - you'll be writing and debugging transformation/reconciliation queries regularly.
• Experience with a modern table format (Apache Iceberg, Delta Lake, or Hudi) and a cloud data lake / lakehouse pattern (raw/trusted/shared or bronze/silver/gold).
• Infrastructure-as-code experience - Pulumi preferred, Terraform/CDK acceptable if you can ramp on Pulumi quickly.
• Comfortable working with AWS core services beyond Glue: S3, Lambda, Step Functions, IAM, Secrets Manager.
• Experience writing automated tests (pytest) and working inside a CI/CD pipeline with mandatory quality gates.
• Ability to work independently inside an existing large, multi-repo codebase with established conventions - this is a stabilization/completion effort, not a greenfield build.

Requirements

• Experience with AWS Lake Formation (cross-account data sharing / fine-grained permissions).
• Familiarity with Databricks / Unity Catalog (one sibling data product uses Databricks instead of Glue).
• Background in automotive, retail, or invoice/financial data domains.
• Experience with data-quality frameworks or GDPR-driven retention/deletion pipelines.
• Prior work in a data-mesh / domain-oriented data product architecture (vs. a monolithic warehouse).

Benefits

• Empowering Projects: With 500+ clients spanning diverse industries and domains, we provide an exciting opportunity to contribute to groundbreaking projects that leverage cutting-edge technologies.
• Empowering Growth: We foster a culture of continuous learning and professional development, providing timely and comprehensive assistance for every consultant through our dedicated Learning & Development team.
• DE&I Matters: We deeply value and embrace diversity, providing equal opportunities for all individuals and fostering an inclusive work environment.
• Career Development: Our corporate culture emphasizes career development, offering abundant opportunities for growth and regular interactions with our teams.
• Comprehensive Benefits: We provide a comprehensive benefits package that prioritizes the overall well-being of our consultants.
• Flexible Opportunities: We prioritize work-life balance by offering flexible opportunities tailored to your lifestyle.