Posted in Information Technology 30+ days ago.
Type: Full-Time
Location: Plano, Texas
About AI & Analytics: Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human-centric businesses. By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need. Within AI & Analytics, we work to design the future—a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies.
By applying AI and data science, we help leading companies to prototype, refine, validate, and scale their AI and analytics products and delivery models. Cognizant’s AIA practice takes insights that are buried in data, and provides businesses a clear way to transform how they source, interpret and consume their information. Our clients need flexible data structures and a streamlined data architecture that quickly turns data resources into informative, meaningful intelligence.
*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
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Hadoop, Data Analysis |
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Designing and coding Hadoop applications to analyze data collections.
•Creating data processing frameworks.
•Implement and support various components of the Hadoop ecosystem
•Monitor Hadoop cluster connectivity and performance
•Ability to work with Senior Enterprise Architects to develop a Big Data platform
•Work closely with infrastructure, network, database, business intelligence and application teams to ensure business applications are readily available and performing within agreed upon service levels
•Capacity planning and estimating the requirements for lowering or increasing the capacity of the hadoop cluster
•Manage and review Hadoop log files
· Configure required security and data masking to a data set
· Support testing of data acquisition, data set correlation, and / or model development. Investigate and resolve interface issues
· Work with IT to harden and productionize the model, model interfaces, and business procedures.
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•Bachelor’s degree in Software Engineering or Computer Science.
•5+ years designing, developing and implementing solutions in Hadoop environments
•Previous experience as a Hadoop Developer or Big Data Engineer.
•Advanced knowledge of the Hadoop ecosystem and its components.
•In-depth knowledge of Hive, HBase, and Pig.
•In depth knowledge of MapReduce and Pig Latin Scripts.
•Knowledge of back-end programming languages including JavaScript, Node.js, and OOAD.
Experience with the following: Hadoop (CDH), relational databases and SQL, ETL development, spark, data validation and testing (Data Warehousing, ETL/ELT to the Data Lake, Using the Data Lake for data analysis (Hadoop tools – Hive, Impala, Pig, Sqoop, Hue, Kafka, etc., Python, R, java, Docker, Dakota).
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Technical Skills
| SNo | Primary Skill | Proficiency Level * | Rqrd./Dsrd. |
| 1 | Map Reduce | PL3 | Required |
| 2 | Hive | PL3 | Required |
| 3 | Apache Hadoop | PL3 | Required |
| 4 | ANSI SQL | PL3 | Required |
| 5 | Core Java | PL1 | Required |
* Proficiency Legends
| Proficiency Level | Generic Reference |
| PL1 | The associate has basic awareness and comprehension of the skill and is in the process of acquiring this skill through various channels. |
| PL2 | The associate possesses working knowledge of the skill, and can actively and independently apply this skill in engagements and projects. |
| PL3 | The associate has comprehensive, in-depth and specialized knowledge of the skill. She / he has extensively demonstrated successful application of the skill in engagements or projects. |
| PL4 | The associate can function as a subject matter expert for this skill. The associate is capable of analyzing, evaluating and synthesizing solutions using the skill. |
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Kroger
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AT&T
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AT&T
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