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. We leverage our holistic portfolio of capabilities in consulting, design, engineering, operations, and emerging technologies to help clients realize their boldest ambitions and build future-ready, sustainable businesses. A company recognized globally for its comprehensive portfolio of services, strong commitment to sustainability and good corporate citizenship, we have over 250,000 dedicated employees serving clients across 66 countries. We deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world.
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- A PROUD HISTORY OF OVER 75 YEARS
- FY22 REVENUE 10.4 BN USD
- WE'RE PRESENT IN 66 COUNTRIES
- OVER 1,400 ACTIVE GLOBAL CLIENTS
Location - Portland OR (Hybrid)
Employment - Full time
Position Summary/Job Description:
Top Skills:
- Python
- SQL
- AWS
- Spark
• 7+ years relevant work experience in the Data Engineering field
• 5+ years of experience working with Hadoop and Big Data processing frameworks (Hadoop, Spark, Hive, Flink, Airflow etc.)
• 5+ years of experience Strong experience with relational SQL and at least one programming language such as Python, Scala, or Java
• Experience working in AWS environment primarily EMR, S3, Kinesis, Redshift, Athena, etc.
• Experience building scalable, real-time and high-performance cloud data lake solutions
• Experience with source control tools such as GitHub and related CI/CD processes.
• Experience working with Big Data streaming services such as Kinesis, Kafka, etc.
• Experience working with NoSQL data stores such as HBase, DynamoDB, etc.
• Experience with data warehouses/RDBMS like Snowflake & Teradata
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..
PySpark
PySpark