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# TECHNICAL LEAD L1

- **Company:** Wipro Limited
- **Location:** Addison, TX, United States
- **Experience:** Expert
- **Salary:** $60,000.0 - $135,000.0
- **Contract:** Permanent contract
- **Skills:** Query Performance, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Big Data, Cloud Computing, Cloudera Impala, Computer Programming, Continuous Integration, Data Governance, Extract Transform Load (ETL), Data Security, Data Warehousing, DevOps, Apache Hadoop, Hadoop Distributed File System, MapReduce, Apache HBase, Apache Hive, JSON, Python (Programming Language), Performance Tuning, Cloudera, Simple Data Format, SQL Databases, Sqoop, Unstructured Data, Parquet, Data Processing, Data Storage Technologies, Real Time Systems, Data Ingestion, Apache Yarn, Apache Spark, Git, Pyspark, Apache Flume, Kubernetes, Avro, Apache Kafka, Spark Streaming, Data Management, Software Version Control, Docker
- **Published:** July 31, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=138c887e437fd317

## About the Role

* Hadoop & Cloudera , Ecosystem (CDP/CDH, HDFS, YARN, MapReduce)
 * Spark & Data Processing(Spark Core, SQL, PySpark)
 * Version Control (Git)
 * ETL Pipeline Development &Optimization
 * Cloud & DevOps (CI/CD, Docker, Kubernetes, CDP (Cloud)
 * Big Data Tools (Hive,Impala, HBase)
 * Programming (Python / Scala / Shell)
 * Data Storage & File Formats (Parquet, Avro,ORC, JSON)
 * Cluster Management & Performance Tuning
 * Data Ingestion Tools (Sqoop, Flume, Kafka)
 * Experience with real-time processing (Spark Streaming / Kafka)
 * Knowledge of data governance and security frameworks
 * Exposure to cloud platforms (Azure / AWS / GCP) · Basic understanding of data warehousing concepts

## Description

Develop and maintain big data solutions using Cloudera Hadoop platform

 * Design and implement scalable ETL pipelines for large datasets
 * Work on data ingestion, processing, and transformation using Spark and Hadoop tools · Optimize data workflows, query performance, and storage strategies
 * Manage and maintain Hadoop clusters (Cloudera distribution)
 * Work with structured and unstructured data across multiple sources
 * Collaborate with Data Engineers, Analysts, and Business teams
 * Implement data security, governance, and access controls
 * Ensure system performance, reliability, and scalabilityCollaborate with cross-functional teams (Data Engineers, DevOps, Business teams)
 * Stay updated with the latest advancements in AI/ML and GenAI ecosystem


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