Job Description
We are seeking a skilled Data Engineer with strong experience in building scalable data pipelines and a solid understanding of KYC/AML workflows. The role involves working closely with business and technology teams to support client onboarding, compliance, and lifecycle management initiatives within a high‑performance data environment.
Key Responsibilities
- Design, develop, and maintain scalable ETL/ELT data pipelines for large datasets
- Support KYC/AML processes, including client onboarding and lifecycle management
- Build and optimize data solutions using Python and/or Scala
- Develop data processing workflows using Big Data technologies (Spark, PySpark, Kafka, Hadoop, Flink)
- Ensure data quality, integrity, and compliance with regulatory requirements
- Collaborate with cross‑functional teams to deliver reliable data solutions
- Monitor and troubleshoot data pipelines for performance and scalability
Domain Expertise
- Experience in KYC / AML workflows
- Understanding of Client Onboarding and Lifecycle Management (CLM)
Technical Skills (Must Have)
- Strong experience in data pipeline development (ETL/ELT)
- Proficiency in Python and/or Scala
- Hands‑on with Spark, PySpark, Kafka, Hadoop, Flink
- Experience with AWS / Azure / GCP (any one)
- Strong SQL skills (Oracle, PostgreSQL, or similar)
- Experience with NoSQL databases (MongoDB, Couchbase, etc.)
- Familiarity with Airflow or Prefect for orchestration
Good to Have
- Experience with Docker and Kubernetes
- Exposure to NLP/Document processing tools (SpaCy, NLTK, LLM pipelines)
- Knowledge of distributed systems and scalable architectures
Mandatory Skills
Python for Data Science.
Experience
5-8 Years.
Compensation
Expected compensation ranges from CAD 77,000 to CAD 120,000.
Equal Opportunity
Wipro provides equal opportunities to all and values diversity.
Wipro is committed to creating an accessible, supportive, and inclusive workplace. Reasonable accommodation will be provided to all applicants including persons with disabilities, throughout the recruitment and selection process. Accommodations must be communicated in advance of the application, where possible, and will be reviewed on an individual basis.
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