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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # DATA ANALYST L3(CONTRACT) - **Company:** Wipro Limited - **Location:** Arlington, TX, United States - **Experience:** Experienced - **Salary:** $45,000.0 - $121,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Airflow, Amazon Web Services, Big Data, Cloud Computing, Databases, Data Validation, Data Integration, Data Warehousing, Database Applications, Apache Hadoop, Apache Hive, Python (Programming Language), Performance Tuning, Cloudera, Scala (Programming Language), SQL Databases, Feature Engineering, Data Ingestion, Apache Spark, Apache Nifi, Machine Learning Operations, Tools for Reporting, Data Pipelines, Databricks - **Published:** July 21, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=6effce65ce0e19cc ## About the Role Mandatory Skills: Hadoop Cloudera . Experience: 3-5 Years . ## Description * Ability to easily move between business, data management, and technical teams; ability to quickly intuit the business use case and identify technical solutions to enable it * Experience building robust and efficient data pipelines end-to-end with a strong focus on data quality * High proficiency in using Python or Scala, Spark, Hadoop platforms & tools (Hive, Airflow, NiFi, Scoop), SQL to build Big Data products & platforms * Experience in building and deploying production-level data-driven applications and data processing workflows/pipelines and/or * Implementing machine learning systems at scale in Java, Scala, or Python and deliver analytics involving all phases like data ingestion, feature engineering, modeling, tuning, evaluating, monitoring, and presenting * Cloud knowledge (Databricks or AWS ecosystem) is a plus but not required ͏ Do 1. Managing the technical scope of the project in line with the requirements at all stages a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends b. Develop record management process and policies c. Build and maintain relationships at all levels within the client base and understand their requirements. d. Providing sales data, proposals, data insights and account reviews to the client base e. Identify areas to increase efficiency and automation of processes f. Set up and maintain automated data processes g. Identify, evaluate and implement external services and tools to support data validation and cleansing. h. Produce and track key performance indicators 2. Analyze the data sets and provide adequate information a. Liaise with internal and external clients to fully understand data content b. Design and carry out surveys and analyze survey data as per the customer requirement c. Analyze and interpret complex data sets relating to customer’s business and prepare reports for internal and external audiences using business analytics reporting tools d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool f. Develop predictive models and share insights with the clients as per their requirement ͏ Deliver No Performance Parameter Measure 1. Analyses data sets and provide relevant information to the client No. Of automation done, On-Time Delivery, CSAT score, Zero customer escalation, data accuracy ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Analyst Salary in Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)