Job Description
6–8 years of experience designing, building, and maintaining scalable data and API-driven applications, with a strong focus on cloud-native architectures.
Strong experience working within enterprise data warehouse and analytics ecosystems, with the ability to analyze and model complex cross-domain and cross-object data relationships.
Proven track record as a hands-on individual contributor, delivering end-to-end solutions across multiple full lifecycle engagements—from requirements gathering and architecture design to deployment and production support.
Excellent proficiency in SQL, Python, and Java, with experience in data transformation, pipeline orchestration, backend services, and automation.
Hands-on experience in developing Dataflow (Apache Beam) pipelines and APIs using Java, with a solid understanding of object-oriented design, performance optimization, and error handling.
Strong working experience with Google Cloud Platform (GCP) services, including:
- BigQuery for large-scale analytics and query optimization
- Pub/Sub for event-driven and streaming architectures
- Cloud Storage (GCS) for scalable and durable storage
- Cloud Functions for event-based processing
- Dataflow (Apache Beam) for batch and streaming pipelines
Experience designing and operating batch, streaming, and near real-time data pipelines, ensuring scalability, fault tolerance, schema evolution, and cost efficiency.
Strong understanding of data quality and reliability engineering, including data validation, reconciliation, monitoring, and exception handling for production-grade systems.
Hands-on experience in validating RESTful APIs, including schema validation, payload integrity, downstream data validation, and performance SLAs.
Exposure to validating analytics and reporting layers using tools like Looker Studio and Tableau, ensuring consistency between data sources, transformations, and dashboards.
Working knowledge of graph databases and their applicability for modeling connected datasets is an added advantage.
Strong data engineering mindset with the ability to design, test, and optimize real-world data scenarios within GCP environments.
Comfortable working in Agile/Scrum environments, collaborating with cross-functional teams including cloud architects, product owners, data scientists, and DevOps/SRE teams.
Good understanding of GCP data engineering best practices, including security, IAM, monitoring, cost optimization, and operational excellence.
Experience: 5-8 Years .
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.
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. Wipro provides equal opportunities to all and values diversity.