Lead Data Engineer

• Pipeline Development: Architect, build, and maintain scalable and robust data pipelines for diverse applications, including business intelligence and advanced analytics.
• Big Data & Streaming: Implement and support Big Data solutions for both batch (scheduled) and real-time/streaming analytics.
• Collaboration: Work closely with product managers and business teams to understand data requirements and translate them into technical solutions.
• DevOps Integration: Collaborate with DevOps teams to ensure smooth deployment, monitoring, and maintenance of data pipelines and infrastructure in cloud environments.

Required Skills & Experience
• Cloud Platform Expertise (GCP Focus): Extensive hands-on experience working in dynamic cloud environments, with a strong preference for Google Cloud Platform (GCP) services, specifically:
o BigQuery: Expert-level skills in data ingestion, performance optimization, and data modeling within a petabyte-scale environment.
o Experience with other relevant GCP services like Cloud Storage, Cloud Dataflow/Beam, or Pub/Sub.
• Programming & Querying:
o Python: Expert-level programming proficiency in Python, including experience with relevant data engineering libraries.
o SQL: A solid command of advanced SQL for complex querying, data processing, and performance tuning.
• Data Pipeline Orchestration: Prior experience using workflow management and orchestration tools (e.g., Apache Airflow, Cloud Composer, Dagster, or similar).

DevOps/CI/CD:
o Strong understanding of DevOps principles and practices.
o Experience with CI/CD pipelines, automation tools, and deployment strategies.
o Familiarity with version control systems (Git) and tools like GitLab CI/CD, GitHub Actions, or Jenkins.
o Knowledge of containerization (Docker) and orchestration tools (Kubernetes) is a plus.
• Monitoring & Automation: Ability to implement monitoring solutions and automate operational tasks to ensure reliability and scalability.

Mandatory Skills: Cloud-PaaS-GCP-Google Cloud Platform .

Experience: 3-5 Years .

The expected compensation for this role ranges from $45,000 to $110,000 .

Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.

Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law.

Wipro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Applications from veterans and people with disabilities are explicitly welcome.

Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.

Client-provided location(s): Santa Clara, CA

Job ID: Wipro-124861

Employment Type: OTHER

Posted: 2026-01-10T18:42:10