Senior Software/Data Engineer

Role: Software Engineer 3 (Senior)📍 Location: Charlotte, NC (Uptown) – Onsite/Hybrid

⏳ Duration: 12+ Months

🗣 Interview: 2 Rounds

🛂 Work Authorization: USC/GC preferred; H1B transfers will also be considered

Role Overview:We are seeking a Senior Software/Data Engineer with strong experience in Spark, Python, and cloud platforms to work on large-scale, data-intensive systems. This role involves building and optimizing distributed data solutions and supporting modernization initiatives. Key Responsibilities:

• Develop and optimize data pipelines using Apache Spark/PySpark
• Build scalable applications using Python (Django preferred)
• Work on cloud-based solutions (GCP or similar)
• Support data platform modernization (e.g., Hadoop → Cloud)
• Collaborate with cross-functional teams in high-scale environments

Required Skills

• 5–7 years of software/data engineering experience
• 3+ years with Apache Spark (PySpark/Scala/Java)
• 2+ years of Python development (Django preferred)
• Experience with GCP (GCS, IAM, GKE, Cloud Run) or similar cloud
• Hands-on with Kubernetes/OpenShift/Docker
• Strong understanding of distributed systems & data processing

Technical Stack

• Spark (PySpark/Scala/Java)
• Python (Django)
• GCP / Cloud Platforms
• Hadoop ecosystem & migration
• Kubernetes / OpenShift / Docker
• Kafka / Messaging systems
• CI/CD (GitHub Actions, Helm, Sonar, Harness)
• Monitoring (Prometheus, Grafana)

Nice To Have

• Experience with AI/ML or GenAI
• Financial Services/Banking domain experience
• Experience with large-scale data platforms

Ideal Candidate

• Strong in data engineering + cloud
• Hands-on with Spark + Python + GCP
• Experience in migration/modernization projects
• Self-driven, proactive, and solution-oriented

Skills: cloud run,data,python,software,iam,gke,kubernetes,platforms,banking domain,gcp,gcs,finnacial services,apache,kafka,django,opensift,docker,spark,cloud,modernization