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.

Job Description

Role: Senior Data Engineer
Location: Charlotte, NC (3 Days/ week)

Position Summary
We are seeking a highly skilled Senior Data Engineer to design, build, and optimize scalable data platforms and pipelines supporting enterprise data initiatives. The role involves working on large-scale data processing systems, enabling analytics, reporting, and AI/ML use cases within a modern cloud-based architecture.

Key Responsibilities
Design, develop, and maintain scalable data pipelines (batch and real-time) using modern data engineering frameworks
Build and optimize data ingestion and processing workflows using tools like Spark, Hadoop, Kafka, and Airflow
Develop and manage data models, ETL/ELT pipelines, and data transformation processes
Work closely with data scientists, analysts, and business teams to deliver high-quality data solutions
Implement data quality, data validation, and governance frameworks
Optimize performance for large-scale datasets and ensure efficient data processing
Design and manage cloud-based data architectures (AWS/Azure/GCP)
Ensure data security, compliance, and regulatory standards are met
Troubleshoot and resolve production issues related to data pipelines
Mentor junior data engineers and contribute to best practices and standards

Required Skills
Strong experience in Python, Scala, or Java for data engineering
Hands-on experience with Apache Spark, Hadoop ecosystem (Hive, HDFS)
Expertise in building ETL/ELT pipelines
Experience with data orchestration tools like Airflow
Knowledge of real-time streaming tools such as Kafka
Strong proficiency in SQL and data modeling techniques
Experience with cloud platforms (AWS preferred – S3, Glue, EMR, Redshift)
Understanding of data warehouse and data lake architectures
Familiarity with CI/CD pipelines and DevOps practices

Mandatory Skills: Informatica Powercenter . Experience: 5-8 Years .The expected compensation for this role ranges from $60,000 to $135,000 . 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.

Senior Data Engineer (Charlotte, USA-NC, US, 5445)

Job Description

Categories

Skills