Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com. 

Primary Skill - 

• GCP Data engineering services – Big Query , Airflow, Data Proc , Data Flow

• Programming Language – Python / Pyspark

• Data warehousing knowledge and good with SQL skills . Working experience on data migration from On-premise to Cloud

Roles and Responsibilities:

Data Engineering, Design and Development:

Collaborate with cross-functional teams to design and implement scalable and reliable systems on Google Cloud Platform considering optimal performance, security, and cost-effectiveness.

Build Data ingestion pipelines to extract data from various sources (Azure Blob, Azure SQL, Flat files, Semi structure sources, AWS S3) into the data warehouse in GCP.

Utilize GCP services to build robust and scalable data solutions.

Design, develop, and maintain data pipelines and implement data architecture on GCP using services such as Big Query, Cloud Storage, and Cloud Composer.

Expertise in the tools and technology that helps in the process of data collection, cleaning, transforming, and modelling data to achieve useful information.

Leveraging GCP capabilities and technologies for migrating existing databases to cloud.
Collaborate with cross-functional teams to understand data requirements and implement scalable solutions.

Implement and optimize Big Query tables and Complex SQL queries for efficient data retrieval, performance, and efficiency.

Experience in Data Migration from On-premises Database to Big query and experience in BQ conversion

Experience and knowledge in building data pipelines and scheduling using Cloud Composer (Airflow) and data and file transformation using Python

EDW (Enterprise Data Warehouse) and Data Model Designing:

Experience with Data modelling, Data warehousing and ETL processes

Work closely with Business and analysts to design and implement data models for effective data representation and analysis.
Ensure data models meet industry standards and compliance requirements in the health-care domain.
Contribute to the design and development of the enterprise data warehouse architecture.
Implement best practices for data storage, retrieval, and security within the EDW.

Health-care Domain Knowledge:

Apply domain-specific knowledge to ensure that data solutions comply with health-care industry regulations and standards.
Stay updated on industry trends and advancements in health-care data management.

Collaboration:

Work collaboratively with cross-functional teams, including Business Teams, analysts, and software engineers, to deliver integrated and effective data solutions.

Participate in code reviews and provide constructive feedback to team members

Qualifications (Required Technical skills/Experience):

1.Bachelor’s degree in computer science, Information Technology, or a related field.
2. Proficiency in GCP and in-depth knowledge of GCP services, Big Query, Cloud Functions and Composer

3. Strong programming skills in Data Engineering Python

4. Experience with data modeling, SQL, and EDW design.
6. Excellent problem-solving and analytical skills.

7.Strong communication and collaboration skills.

8. Proficiency in version control systems, particularly Git

9. Strong understanding of Datawarehouse concepts, data lakes

Wipro is an Equal Employment Opportunity employer and makes all employment and employment-related decisions without regard to a person's race, sex, national origin, ancestry, disability, sexual orientation, or any other status protected by applicable law