Wipro
Job Title
Lead Data Engineer Location: Santa Clara, CA (Day 1 Onsite) Responsibilities
Design, implement, and optimize clean, well‑structured, and performant analytical datasets to support high‑volume reporting, business analysis, and data science model development. Architect, build, and maintain scalable and robust data pipelines for diverse applications, including business intelligence and advanced analytics. Implement and support Big Data solutions for both batch (scheduled) and real‑time/streaming analytics. Work closely with product managers and business teams to understand data requirements and translate them into technical solutions. Collaborate with DevOps teams to ensure smooth deployment, monitoring, and maintenance of data pipelines and infrastructure in cloud environments. Qualifications & Experience
Cloud Platform Expertise (GCP Focus)
Expert level knowledge of Google Cloud BigQuery: ingestion, performance optimization, and data modeling within a petabyte‑scale environment. Experience with other GCP services such as Cloud Storage, Cloud Dataflow/Beam, or Pub/Sub.
Programming & Querying
Expert level proficiency in Python and relevant data‑engineering libraries. Strong command of advanced SQL for complex querying, data processing, and performance tuning.
Data Pipeline Orchestration
Prior experience with workflow management and orchestration tools (e.g., Apache Airflow, Cloud Composer, Dagster, or similar).
DevOps/CI / CD
Strong understanding of DevOps principles and practices. Experience with CI/CD pipelines, automation tools, and deployment strategies. Familiarity with version control systems (Git) and tools like GitLab CI/CD, GitHub Actions, or Jenkins. Knowledge of containerization (Docker) and orchestration tools (Kubernetes) is a plus. Ability to implement monitoring solutions and automate operational tasks to ensure reliability and scalability.
Experience: 3‑5 years. Job Information
Seniority level: Mid‑Senior level Employment type: Full‑time Job function: Information Technology Industries: IT Services and IT Consulting Compensation & Benefits
The expected compensation for this role ranges from $45,000 to $110,000. Final compensation will depend on geographical location, minimum wage obligations, skills, and experience. The role is eligible for Wipro's standard benefits including a full range of medical and dental benefits, disability insurance, paid time off (inclusive of sick leave), and other paid and unpaid leave options. EEO Statement
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.
#J-18808-Ljbffr
Lead Data Engineer Location: Santa Clara, CA (Day 1 Onsite) Responsibilities
Design, implement, and optimize clean, well‑structured, and performant analytical datasets to support high‑volume reporting, business analysis, and data science model development. Architect, build, and maintain scalable and robust data pipelines for diverse applications, including business intelligence and advanced analytics. Implement and support Big Data solutions for both batch (scheduled) and real‑time/streaming analytics. Work closely with product managers and business teams to understand data requirements and translate them into technical solutions. Collaborate with DevOps teams to ensure smooth deployment, monitoring, and maintenance of data pipelines and infrastructure in cloud environments. Qualifications & Experience
Cloud Platform Expertise (GCP Focus)
Expert level knowledge of Google Cloud BigQuery: ingestion, performance optimization, and data modeling within a petabyte‑scale environment. Experience with other GCP services such as Cloud Storage, Cloud Dataflow/Beam, or Pub/Sub.
Programming & Querying
Expert level proficiency in Python and relevant data‑engineering libraries. Strong command of advanced SQL for complex querying, data processing, and performance tuning.
Data Pipeline Orchestration
Prior experience with workflow management and orchestration tools (e.g., Apache Airflow, Cloud Composer, Dagster, or similar).
DevOps/CI / CD
Strong understanding of DevOps principles and practices. Experience with CI/CD pipelines, automation tools, and deployment strategies. Familiarity with version control systems (Git) and tools like GitLab CI/CD, GitHub Actions, or Jenkins. Knowledge of containerization (Docker) and orchestration tools (Kubernetes) is a plus. Ability to implement monitoring solutions and automate operational tasks to ensure reliability and scalability.
Experience: 3‑5 years. Job Information
Seniority level: Mid‑Senior level Employment type: Full‑time Job function: Information Technology Industries: IT Services and IT Consulting Compensation & Benefits
The expected compensation for this role ranges from $45,000 to $110,000. Final compensation will depend on geographical location, minimum wage obligations, skills, and experience. The role is eligible for Wipro's standard benefits including a full range of medical and dental benefits, disability insurance, paid time off (inclusive of sick leave), and other paid and unpaid leave options. EEO Statement
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.
#J-18808-Ljbffr