Azure Databricks Engineer (Information Technology)

WE ARE COGNIZANT ARTIFICIAL INTELLIGENCE

Digital technologies, including analytics and AI, give companies a once-in-a-generation opportunity to perform orders of magnitude better than ever before. But clients need new business models built from analyzing customers and business operations at every angle to really understand them.

With the power to apply artificial intelligence and data science to business decisions via enterprise data management solutions, we help leading companies prototype, refine, validate and scale the most desirable products and delivery models to enterprise scale within weeks

*You must be legally authorized to work in the United States without the need for employer sponsorship/ visa transfer now or at any time in the future *

JOB TITLE - Azure Databricks/ Azure Data Factory Engineer

Roles/Responsibilities (day to day candidate's responsibilities)

• Provide Business Intelligence and Data Warehousing solutions and support by leveraging project standards and leading analytics platform.
•  Evaluate and define functional requirements for BI and DW solutions
• Build conceptual and logical models based on the functional flow of business in a scalable mode.
•  Work directly with Business leadership and Application SMEs to understand the requirement and analyzing the source to fulfill the requirement.
• Propose and develop data solutions to enable effective decision-making, driving business objects or addressing the enterprise integration requirements.
• Analyze the data quality, data governance, compliance and other legal requirements on data storage; address all the required non-business but operational requirements during the design and build of data pipelines.
• Identify avenues on cost savings either by using in-house Cognizant accelerators or by building re-usable frameworks across the projects.
• Interpret data by building the models, charts and tables on reporting platform towards business intelligence requirements.
• Expert and Key point of contact between the data analyst, data scientists, and the business/application teams.

Required Qualifications (must have skills)

• 2-3 years of experience working on Data bricks, Azure Data Factory and other Azure data solutions ecosystems (Mandatory)
• 2-3 years of experience working on Spark SQL, Hive SQL, USQL. (Mandatory).
• 2-3 years of experience working on Spark, Scala and Python. (Mandatory)
• 2-3 Experience on creating the frameworks towards building the data pipelines. (Mandatory) · Must have experience on configure the data streams between Event Hub and Azure Service Bus with other integration systems such as Data Bricks etc., (Mandatory) ·
• Must have experience working with Onshore / Offshore model. (Mandatory) ·
• Azure Fundamentals Certification (AZ-900) and Azure Data Solution (DP-200 & DP-201) (Preferred). · 2-3 years of experience working on JAVA or other object oriented programming (Preferred).
• Extensive experience working on Big data technologies such has Hive, Pig and Map Reduce are preferred.
• Experience work with structured and unstructured data is must.
• Good understanding of data oriented projects for integration and analytics is must.

Technical Skills

SNo Primary Skill Proficiency Level * Rqrd./Dsrd. 1 Cloud Computing PL1 Required  

Domain Skills

SNo Primary Skill Proficiency Level * Rqrd./Dsrd. 1 Production Warehouse&Logistics NA Required 2 Order and Service Management NA Required 3 Inventory NA 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.