This job listing has expired and the position may no longer be open for hire.

Machine Learning Ops Lead at Cognizant

Posted in Information Technology 30+ days ago.

Type: Full-Time
Location: Stamford, Connecticut





Job Description:

***This position is not offering sponsorship at this time. You have to be able to work for any employer in the United States***











Roles/Responsibilities (5 – 8 day to day candidate’s responsibilities)



·         Onshore Lead Interacting with key stakeholders of the project - BA Product Owners, Users

·         Writing High Level Design Detailed Mapping for the requirements

·         Data Analysis

·         Extensive knowledge in Designing data pipeline


  • Strong in Data Engineering & MLOPs


·         collaborating with  Data Scientist in building ML pipelines



Required Qualifications (5 – 8 bullet points on must have skills)



Experience in building ML pipelines


  • Creating reusable Data pipeline  frameworks


·         writing Detailed Design Specifications ,Data Analysis & Strong negotiating skills to finalize design decisions with stakeholders

·         Strong understanding of Data Warehousing concepts

·         Strong experience in Cloud: AWS Lambda,  EMR, Redshift ,MWAA, Big Data technologies, Pyspark, Hive  

Experience in building Streaming applications

·         Good knowledge in Data Modeling

·         Strong Communication skills

·         Agile Experience

·         Experience in Media domain preferred

·         Strong experience in Data Integration Landscape with multiple projects implementation

·         Handle Project Risks and Issues

·         Good Database SQL experience

·         Estimation

·         Strong leadership qualities

·         Good Onshore Offshore coordination skills


Technical Skills




































































SNo Primary Skill Proficiency Level * Rqrd./Dsrd.
1 Data Architect PL3 Desired
2 Big Data PL3 Desired
3 Map Reduce PL3 Desired
4 Apache Spark PL3 Desired
5 Oozie PL3 Desired
6 Kafka PL3 Desired
7 Impala PL3 Desired
8 Flume PL3 Desired
9 Hive PL3 Desired
10 Apache Hadoop PL3 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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