Description
Senior Azure Data Engineer
Location: Atlanta, Georgia (Open to Remote)
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 or Canada without the need for employer sponsorship, now or at any time in the future *
Qualification:
Bachelors in science , engineering or equivalent
Role & Responsibility:
- Lead initiatives to create and maintain optimal data pipeline architecture
- Design, build and maintain large, complex data processing pipelines using Apache Spark on Databricks in Azure to meet enterprise requirements for reporting and analytics
- Provide operational and functional support on creating, storing, managing, and maintaining enterprise data, including the ability to incorporate policies and procedures for centrally managing and sharing data through the data life cycle
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, and re-designing for flexibility and scalability
- Build the infrastructure required for extraction, transformation, and loading of data from a wide variety of cloud and on-premises data sources
- Work with stakeholders including to assist with data-related technical issues and support their data infrastructure needs
- Work closely with data architecture, data governance and data analytics teams to ensure pipelines adhere to enterprise standards, usability, and performance
- Guide and mentor team members on best practices, effective design patterns and data maturity
- Ensure safeguards and security are effectively implemented to protect enterprise data
- Ensure code is well structured, sufficiently documented, and is easy to maintain and reuse
- Implement DataOps and DevSecOps for data initiatives using preferred processes and tools
- Participate as team member / leader in Agile/Scrum teams
- Work on continuous improvement initiatives and effectively address root cause analysis outcomes to deliver sustainable excellence
Must have Skills
- Databricks
Good To Have Skills
- Azure Data Factory
- Portfolio & Project Management (PPM)
Salary and Other Compensation:
The annual salary for this position is between $105,330.00 – $153,450.00 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
- Medical/Dental/Vision/Life Insurance
- Paid holidays plus Paid Time Off
- 401(k) plan and contributions
- Long-term/Short-term Disability
- Paid Parental Leave
- Employee Stock Purchase Plan
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
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Qualifications
Technical Skills
SNo Primary Skill Proficiency Level * Rqrd./Dsrd. 1 Databricks PL4 Required 2 Azure Data Factory PL4 Desired 3 Portfolio & Project mgmt (PPM) PL4 Desired
* 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.