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Technical Lead - Hadoop
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Wipro
Newark, NJ (In Person)
$97,500 Salary, Full-Time
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Job Description
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Job Title:
Technical Lead•Hadoop City:
Newark State/Province:
Delaware Posting Start Date:
6/2/26 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:
Job Description Candidate has proficiency all tenets of being an enterprise solutions architect and should have fluency in. Platform management experience at scale with Big data Hadoop components (HDFS, Yarn, Storm, HBASE, Hive, Spark, RabbitMQ, Ambari, Zoo Keeper, Grafana, Kafka, Zoo Keeper etc..,). real-time ingestion/streaming options for large data set flows with hands-on experience in designing, building & deploying big data solutions On-prem & Cloud (Azure) & Hybrid solutions. Performance tuning (for eg. Yarn is slow, Tez jobs are slow, Slow Data loading) & maintain platform integrity. Industry best practices & recommendations review and roll out as appropriate Security compliance. Manage & maintain layered access through Authentication, Authorization, and Auditing. Addition and maintenance of user access for both new and existing users. Maintain & manage High Availability. Manage permissions and roll over Ranger KMS keys. Monitor the Automated Audit forwarding Job. Audit Log Clean up as directed by security information and event management (SIEM) system. Familiarity with open source configuration management and deployment tools such as Puppet or Chef and Linux scripting. Consumption of Big Data a. Aggregation strategies b. Micro service architecture c. Subscription model d. API (Rest, graphql) e. Modeling for Insight/KPI factory f. Product Development Digital 360 a. Tooling- Jenkins, Dockers, Kubernetes, DevOps etc. b. Process
- c. Methodologies
- safe Agile Working knowledge of Machine learning (good to have) Telco Domain Knowledge (Preferable) a. Big Data relative to Telecom (a. Understanding Key Data Element
EDR,CDR, LSR
; b. Product Development for consumption from the Key data element)Mandatory Skills:
Hadoop Cloudera .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.